José Carlos Príncipe

发表

Perception Updating Networks: On architectural constraints for interpretable video generative models

Eder Santana, José Carlos Príncipe, 2017, ICLR.

Integrate and fire circuit as an ADC replacement

José Carlos Príncipe, Manu Rastogi, Alexander Singh-Alvarado, 2011, 2011 IEEE International Symposium of Circuits and Systems (ISCAS).

Information cut and information forces for clustering

Robert Jenssen, José Carlos Príncipe, Torbjørn Eltoft, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns

Deniz Erdogmus, José Carlos Príncipe, Justin C. Sanchez, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Information point set registration for shape recognition

Zheng Cao, Bing Ouyang, José Carlos Príncipe, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

From compressive to adaptive sampling of neural and ECG recordings

José Carlos Príncipe, Alexander Singh-Alvarado, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Maximum Correntropy Estimation Is a Smoothed MAP Estimation

Badong Chen, José Carlos Príncipe, J. Príncipe, 2012, IEEE Signal Processing Letters.

Kernel Based Synthetic Discriminant Function for Object Recognition

José Carlos Príncipe, Jian-Wu Xu, Kyu-Hwa Jeong, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Asynchronous biphasic pulse signal coding and its CMOS realization

Yuan Li, José Carlos Príncipe, John G. Harris, 2006, 2006 IEEE International Symposium on Circuits and Systems.

Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional

Robert Jenssen, José Carlos Príncipe, Shujian Yu, 2020, IEEE transactions on pattern analysis and machine intelligence.

Estimation of periodicity in non-uniformly sampled astronomical data using a 2D kernel in correntropy

Pavlos Protopapas, Pablo A. Estévez, José Carlos Príncipe, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

Information Theoretic-Learning auto-encoder

Eder Santana, José Carlos Príncipe, Matthew Emigh, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Ascertaining the importance of neurons to develop better brain-machine interfaces

José Carlos Príncipe, John G. Harris, Justin C. Sanchez, 2004, IEEE Transactions on Biomedical Engineering.

Learning from Examples with Information Theoretic Criteria

John W. Fisher, José Carlos Príncipe, Dongxin Xu, 2000, J. VLSI Signal Process..

Minimax Mutual Information Approach for Independent Component Analysis

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2004, Neural Computation.

A knowledge-based supervision model for machine tools

José Carlos Príncipe, Taehwan Yoon, 1989, [1989] Proceedings of the Thirteenth Annual International Computer Software & Applications Conference.

Pulse based signal processing for systolic peak recognition

José Carlos Príncipe, Gabriel Nallathambi, Neil R. Euliano, 2015, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP).

Water Inflow Forecasting using the Echo State Network: a Brazilian Case Study

José Carlos Príncipe, Ivan Nunes da Silva, Rodrigo Sacchi, 2007, 2007 International Joint Conference on Neural Networks.

A test of independence based on a generalized correlation function

Yunmei Chen, Hemant D. Tagare, José Carlos Príncipe, 2011, Signal Process..

Kernel-based adaptive learning improves accuracy of glucose predictive modelling in type 1 diabetes: A proof-of-concept study

Dimitrios I. Fotiadis, José Carlos Príncipe, Eleni I. Georga, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Compressed signal reconstruction using the correntropy induced metric

José Carlos Príncipe, Sohan Seth, J. Príncipe, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Guest editorial special issue on intelligent multimedia processing

Ling Guan, Shigeru Katagiri, Jan Larsen, 2002, IEEE Trans. Neural Networks.

Signal Processing with Pulse Trains: An Algebraic Approach- Part I pdf

José Carlos Príncipe, Gabriel Nallathambi, 2016, ArXiv.

Correntropy based matched filtering for classification in sidescan sonar imagery

K. Clint Slatton, José Carlos Príncipe, Erion Hasanbelliu, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Optimizing microstimulation using a reinforcement learning framework

Austin J. Brockmeier, José Carlos Príncipe, Joseph T. Francis, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A novel methodology to quantify dense EEG in cognitive tasks

Andreas Keil, José Carlos Príncipe, Catia S. Silva, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Correntropy based Granger causality

José Carlos Príncipe, Il Park, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

2011 Ieee International Workshop on Machine Learning for Signal Processing Stochastic Kernel Temporal Difference for Reinforcement Learning

José Carlos Príncipe, Justin C. Sanchez, Luis Gonzalo Sánchez Giraldo, 2022 .

A reconfigurable parallel acceleration platform for evaluation of permutation entropy

Nanning Zheng, Badong Chen, José Carlos Príncipe, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Modified embedding for multi-regime detection in nonstationary streaming data

José Carlos Príncipe, Choudur Lakshminarayan, Evan Kriminger, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Correntropy as a Novel Measure for Nonlinearity Tests

José Carlos Príncipe, Aysegul Gunduz, Anant Hegde, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Robust switching blind equalizer for wireless cognitive receivers

Xianbin Wang, Yiyan Wu, José Carlos Príncipe, 2008, IEEE Transactions on Wireless Communications.

Mutual information analysis on non-stationary neuron importance for brain machine interfaces

José Carlos Príncipe, Yiwen Wang, Xiaoxiang Zheng, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Quantized Attention-Gated Kernel Reinforcement Learning for Brain–Machine Interface Decoding

Kai Xu, José Carlos Príncipe, Fang Wang, 2017, IEEE Transactions on Neural Networks and Learning Systems.

An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems

Deniz Erdogmus, José Carlos Príncipe, Deniz Erdoğmuş, 2002, IEEE Trans. Signal Process..

A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control

Austin J. Brockmeier, José Carlos Príncipe, Justin C. Sanchez, 2014, Comput. Intell. Neurosci..

Brain-Machine Interface Engineering

José Carlos Príncipe, Justin C. Sanchez, J. Príncipe, 2006, Brain-Machine Interface Engineering.

A software tool to study portuguese vowels

António J. S. Teixeira, José Carlos Príncipe, Francisco A. C. Vaz, 1997, EUROSPEECH.

The C-loss function for pattern classification

José Carlos Príncipe, Abhishek Singh, Rosha Pokharel, 2014, Pattern Recognit..

Cooperative Diversity of Spectrum Sensing for Cognitive Radio Systems

Liuqing Yang, José Carlos Príncipe, Dongliang Duan, 2010, IEEE Transactions on Signal Processing.

Parallel flow in Deep Predictive Coding Networks

Eder Santana, José Carlos Príncipe, Goktug T. Cinar, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Information Theoretic Learning with Infinitely Divisible Kernels pdf

José Carlos Príncipe, Luis Gonzalo Sánchez Giraldo, J. Príncipe, 2013, ICLR.

Generalized anti-Hebbian learning for source separation

José Carlos Príncipe, Hsiao-Chun Wu, J. Príncipe, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

A Taxonomy for Neural Memory Networks

Ying Ma, José Carlos Príncipe, J. Príncipe, 2018, IEEE Transactions on Neural Networks and Learning Systems.

An introduction to information theoretic learning

José Carlos Príncipe, Dongxin Xu, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Transfer Learning in Adaptive Filters: The Nearest Instance Centroid-Estimation Kernel Least-Mean-Square Algorithm

Kan Li, José Carlos Príncipe, J. Príncipe, 2017, IEEE Transactions on Signal Processing.

Hierarchical linear dynamical systems for unsupervised musical note recognition

José Carlos Príncipe, Goktug T. Cinar, Pedro M. N. Sequeira, 2017, J. Frankl. Inst..

Feature selection in MLPs and SVMs based on maximum output information

Deniz Erdogmus, Vikas Sindhwani, José Carlos Príncipe, 2004, IEEE Transactions on Neural Networks.

Self-Organised direction aware data partitioning algorithm

Xiaowei Gu, Plamen Angelov, José Carlos Príncipe, 2018, Inf. Sci..

Special Issue on Advances in Self-organizing Maps

Pablo A. Estévez, José Carlos Príncipe, 2015, Neurocomputing.

A New Spatiotemporal Filtering Method for Single-Trial Estimation of Correlated ERP Subcomponents

José Carlos Príncipe, Saeid Sanei, Delaram Jarchi, 2011, IEEE Transactions on Biomedical Engineering.

A unifying criterion for instantaneous blind source separation based on correntropy

Weifeng Liu, José Carlos Príncipe, Ruijiang Li, 2007, Signal Process..

An analysis of entropy estimators for blind source separation

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2006, Signal Process..

A Closed Form Solution for a Nonlinear Wiener Filter

Deniz Erdogmus, José Carlos Príncipe, Jian-Wu Xu, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

A model based approach to exploration of continuous-state MDPs using Divergence-to-Go

José Carlos Príncipe, Matthew Emigh, Matthew S. Emigh, 2015, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP).

Convergence of a Fixed-Point Minimum Error Entropy Algorithm

Yu Zhang, Xi Liu, Badong Chen, 2015, Entropy.

A New Architecture for Deriving Dynamic Brain-Machine Interfaces

Renato J. O. Figueiredo, José Carlos Príncipe, Justin C. Sanchez, 2006, International Conference on Computational Science.

Statistical Signal Processing in Neuroscience

José Carlos Príncipe, Don H. Johnson, Karim G. Oweiss, 2009, EURASIP J. Adv. Signal Process..

Learning Recurrent Waveforms Within EEGs

Austin J. Brockmeier, José Carlos Príncipe, J. Príncipe, 2016, IEEE Transactions on Biomedical Engineering.

On the Importance of Synergisms Between Neuroscience and Engineering [Further Thoughts]

José Carlos Príncipe, 2014, Proc. IEEE.

A Novel Nonparametric Distance Estimator for Densities with Error Bounds

José Carlos Príncipe, João Manuel R. S. Tavares, Alexandre R. F. Carvalho, 2013, Entropy.

Information-theoretic metric learning: 2-D linear projections of neural data for visualization

Austin J. Brockmeier, José Carlos Príncipe, Luis Gonzalo Sánchez Giraldo, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Using Correntropy as a cost function in linear adaptive filters

José Carlos Príncipe, Abhishek Singh, J. Príncipe, 2009, 2009 International Joint Conference on Neural Networks.

"Trends" Expert Overview Sessions Revived at ICASSP 2011: Part 3 [In the Spotlight]

José Carlos Príncipe, Alle-Jan van der Veen, 2012, IEEE Signal Process. Mag..

Adaptive epileptic seizure prediction system

W. Art Chaovalitwongse, Leonidas D. Iasemidis, Panos M. Pardalos, 2003, IEEE Transactions on Biomedical Engineering.

A new type of distance metric and its use for clustering

Plamen P. Angelov, Xiaowei Gu, José Carlos Príncipe, 2017, Evol. Syst..

Analysis of Agent Expertise in Ms. Pac-Man Using Value-of-Information-Based Policies

José Carlos Príncipe, Isaac J. Sledge, J. Príncipe, 2017, IEEE Transactions on Games.

2014 IEEE CIS Awards [Society Briefs]

José Carlos Príncipe, 2014, IEEE Comput. Intell. Mag..

On the Estimation of the Mixing Matrix for Underdetermined Blind Source Separation in an Arbitrary Number of Dimensions

Deniz Erdogmus, José Carlos Príncipe, Ignacio Santamaría, 2004, ICA.

Automatic insect recognition using optical flight dynamics modeled by kernel adaptive ARMA network

Kan Li, José Carlos Príncipe, J. Príncipe, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Adaptive Signal Processing Framework for PV Power Maximization

José Carlos Príncipe, Vítor Grade Tavares, Andre A. Vidal, 2015, Circuits Syst. Signal Process..

Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS

Badong Chen, José Carlos Príncipe, Pingping Zhu, 2014, IEEE Transactions on Signal Processing.

Crosscorrelation estimation using teacher forcing Hebbian learning and its application

José Carlos Príncipe, Chuan Wang, Hsiao-Chun Wu, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

A New Information Theoretic Measure of PDF Symmetry

Weifeng Liu, José Carlos Príncipe, Puskal P. Pokharel, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Coadaptive Brain–Machine Interface via Reinforcement Learning

José Carlos Príncipe, Justin C. Sanchez, José A. B. Fortes, 2009, IEEE Transactions on Biomedical Engineering.

Blind deconvolution with minimum Renyi's entropy

Deniz Erdogmus, José Carlos Príncipe, Luis Vielva, 2002, 2002 11th European Signal Processing Conference.

Quantification of neural functional connectivity during an active avoidance task

Andreas Keil, José Carlos Príncipe, Catia S. Silva, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Hidden state estimation using the Correntropy Filter with fixed point update and adaptive kernel size

José Carlos Príncipe, Goktug T. Cinar, J. Príncipe, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Feasibility of fixed-point transversal adaptive filters in FPGA devices with embedded DSP blocks

José Carlos Príncipe, Andrew Y. Lin, Karl S. Gugel, 2003, The 3rd IEEE International Workshop on System-on-Chip for Real-Time Applications, 2003. Proceedings..

Data-driven tree-structured Bayesian network for image segmentation

José Carlos Príncipe, Anand Rangarajan, Kittipat Kampa, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Information theoretic clustering

Robert Jenssen, José Carlos Príncipe, 2010, Scholarpedia.

An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals

Danilo P. Mandic, Marc M. Van Hulle, José Carlos Príncipe, 2011, IEEE Transactions on Neural Networks.

Self-organizing kernel adaptive filtering

Badong Chen, Zheng Cao, José Carlos Príncipe, 2016, EURASIP J. Adv. Signal Process..

Analysis and Design of Echo State Networks

José Carlos Príncipe, Dongming Xu, Mustafa C. Ozturk, 2007, Neural Computation.

Robust Period Estimation Using Mutual Information for Multiband Light Curves in the Synoptic Survey Era pdf

Pavlos Protopapas, Pablo A. Estévez, Francisco Förster, 2017, ArXiv.

Deniz Erdogmus, Jianbo Gao, José Carlos Príncipe, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Closed-form cauchy-schwarz PDF divergence for mixture of Gaussians

José Carlos Príncipe, Erion Hasanbelliu, Kittipat Kampa, 2011, The 2011 International Joint Conference on Neural Networks.

The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2004, NIPS.

Principles and networks for self-organization in space-time

José Carlos Príncipe, Neil R. Euliano, Shayan Garani, 2002, Neural Networks.

Mixture kernel least mean square

José Carlos Príncipe, Sohan Seth, Rosha Pokharel, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Long-term scalp epileptic EEG quantification with GMA dynamics

Badong Chen, Hong Ji, Andreas Keil, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Independent Component Analysis and Blind Source Separation

Allan Kardec Barros, Deniz Erdogmus, José Carlos Príncipe, 2007, Signal Processing.

Adaptive background estimation using an information theoretic cost for hidden state estimation

José Carlos Príncipe, Goktug T. Cinar, J. Príncipe, 2011, The 2011 International Joint Conference on Neural Networks.

Advanced search algorithms for information-theoretic learning with kernel-based estimators

José Carlos Príncipe, Rodney A. Morejon, J. Príncipe, 2004, IEEE Transactions on Neural Networks.

Sparse Wave Packets Discriminate Motor Tasks in EEG–based BCIs

José Carlos Príncipe, Carlos A. Loza, J. Príncipe, 2019, 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

Learning dependence from samples

José Carlos Príncipe, Sohan Seth, 2014, Int. J. Bioinform. Res. Appl..

Simultaneous Principal-Component Extraction with Application to Adaptive Blind Multiuser Detection

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2002, EURASIP J. Adv. Signal Process..

Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming

Frank L. Lewis, Derong Liu, Dongbin Zhao, 2018, IEEE Trans. Multimedia.

An algorithm based on the even moments of the error

Allan Kardec Barros, José Carlos Príncipe, Noboru Ohnishi, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Sparse Least Logarithmic Absolute Difference Algorithm with Correntropy-Induced Metric Penalty

Jiandong Duan, Wentao Ma, Badong Chen, 2016, Circuits Syst. Signal Process..

Dynamic Vector Quantization Of Speech

José Carlos Príncipe, Shayan Garani, 2001, WSOM.

Extraction of signals with higher order temporal structure using Correntropy

Allan Kardec Barros, Eder Santana, José Carlos Príncipe, 2012, Signal Process..

Quantized Kernel Least Mean Square Algorithm

Badong Chen, José Carlos Príncipe, Pingping Zhu, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Blind separation of uncorrelated sources via principal component analysis of observations for a symmetric mixing matrix

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2002, 2002 11th European Signal Processing Conference.

Some Further Results on the Minimum Error Entropy Estimation

Badong Chen, José Carlos Príncipe, J. Príncipe, 2012, Entropy.

Maximum correntropy Kalman filter

Xi Liu, Badong Chen, José Carlos Príncipe, 2015, Autom..

A real-time, power-efficient architecture for mean-shift image segmentation

Alan D. George, Herman Lam, José Carlos Príncipe, 2018, Journal of Real-Time Image Processing.

Mean shift: An information theoretic perspective

José Carlos Príncipe, Allan de Medeiros Martins, Sudhir Rao, 2009, Pattern Recognit. Lett..

Estimating the Information Potential with the Fast Gauss Transform

José Carlos Príncipe, Seungju Han, Sudhir Rao, 2006, ICA.

Entropy minimization for supervised digital communications channel equalization

Deniz Erdogmus, José Carlos Príncipe, Ignacio Santamaría, 2002, IEEE Trans. Signal Process..

Quantifying spatio-temporal dependencies in epileptic ECOG

Deniz Erdogmus, José Carlos Príncipe, Anant Hegde, 2005, Signal Process..

Minimizing Fisher information of the error in supervised adaptive filter training

Deniz Erdogmus, José Carlos Príncipe, Jian-Wu Xu, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases

Pavlos Protopapas, Pablo A. Estévez, José Carlos Príncipe, 2014, IEEE Computational Intelligence Magazine.

Robust matched filtering in the feature space

Deniz Erdogmus, José Carlos Príncipe, Ignacio Santamaría, 2005, 2005 13th European Signal Processing Conference.

On the optimization properties of the correntropic loss function in data analysis

Panos M. Pardalos, José Carlos Príncipe, Mujahid N. Syed, 2014, Optim. Lett..

Loss function for blind source separation-minimum entropy criterion and its generalized anti-Hebbian rules

José Carlos Príncipe, John G. Harris, Hsiao-Chun Wu, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Dynamic Modelling of Chaotic Time Series with Neural Networks

José Carlos Príncipe, Jyh-Ming Kuo, 1994, NIPS.

Hardware implementation of adder for pulse signal processing

José Carlos Príncipe, Lei Rao, Gabriel Nallathambi, 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

A robust maximum correntropy criterion for dictionary learning

José Carlos Príncipe, Carlos A. Loza, J. Príncipe, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Sequential causal estimation and learning from time-varying images

José Carlos Príncipe, Rakesh Chalasani, Goktug T. Cinar, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

A robust point matching algorithm for non-rigid registration using the Cauchy-Schwarz divergence

José Carlos Príncipe, Luis Gonzalo Sánchez Giraldo, Erion Hasanbelliu, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

Information theoretic learning with adaptive kernels

José Carlos Príncipe, Abhishek Singh, 2011, Signal Process..

Cognitive Workload Discrimination in Flight Simulation Task Using a Generalized Measure of Association

Nitish V. Thakor, José Carlos Príncipe, Anastasios Bezerianos, 2015, ICONIP.

A hybrid subspace projection method for system identification

Deniz Erdogmus, José Carlos Príncipe, Sung-Phil Kim, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

A Novel Switching Scheme Between Adaptive Information Algorithms

Deniz Erdogmus, José Carlos Príncipe, Seungju Han, 2007, 2007 International Joint Conference on Neural Networks.

Echo cancellation by global optimization of Kautz filters using an information theoretic criterion

Deniz Erdogmus, José Carlos Príncipe, Ching-An Lai, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Recursive Complex Blind Source Separation via Eigendecomposition of Cumulant Matrices

Deniz Erdogmus, José Carlos Príncipe, Umut Ozertem, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Arm Motion Reconstruction via Feature Clustering in Joint Angle Space

José Carlos Príncipe, Justin C. Sanchez, Jack DiGiovanna, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

A Simulated Annealing Like Convergence Theory for the Simple Genetic Algorithm

José Carlos Príncipe, Thomas E. Davis, J. Príncipe, 1991, ICGA.

Sparsity aware minimum error entropy algorithms

Wentao Ma, Badong Chen, José Carlos Príncipe, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A relation between Hebbian and MSE learning

Chuan Wang, José Carlos Príncipe, Jyh-Ming Kuo, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

A Generalized Methodology for Data Analysis

Plamen P. Angelov, Xiaowei Gu, José Carlos Príncipe, 2018, IEEE Transactions on Cybernetics.

Self-organizing maps with information theoretic learning

José Carlos Príncipe, Rakesh Chalasani, J. Príncipe, 2015, Neurocomputing.

Pulse-based signal compression for implanted neural recording systems

José Carlos Príncipe, John G. Harris, Justin C. Sanchez, 2008, 2008 IEEE International Symposium on Circuits and Systems.

Welcome message

José Carlos Príncipe, Lei Ding, Paul Sajda, 2017, NER.

Comments on "Sinc interpolation of discrete periodic signals"

José Carlos Príncipe, Frank M. Candocia, J. Príncipe, 1998, IEEE Trans. Signal Process..

Analysis on extended kernel recursive least squares algorithm

José Carlos Príncipe, Pingping Zhu, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Joint optimization of algorithmic suites for EEG analysis

Austin J. Brockmeier, Eder Santana, José Carlos Príncipe, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Convolutive blind source separation by minimizing mutual information between segments of signals

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

Information Theoretic fuzzy modeling for regression

José Carlos Príncipe, Diego Álvarez-Estévez, Vicente Moret-Bonillo, 2010, International Conference on Fuzzy Systems.

Understanding Convolutional Neural Network Training with Information Theory pdf

Robert Jenssen, José Carlos Príncipe, Shujian Yu, 2018, ArXiv.

Blind source separation of time-varying instantaneous mixtures using an on-line algorithm

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Kernel recurrent system trained by real-time recurrent learning algorithm

José Carlos Príncipe, Pingping Zhu, J. Príncipe, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Artificial neural networks with gamma kernels for automatic target detection

José Carlos Príncipe, Munchurl Kim, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Analysis of the time-frequency representation using the Gamma filter

José Carlos Príncipe, Samel Çelebi, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Fairness constrained diffusion adaptive power control for dense small cell network

Badong Chen, José Carlos Príncipe, Hua Qu, 2018, Telecommun. Syst..

Proportionate Minimum Error Entropy Algorithm for Sparse System Identification

Zongze Wu, Badong Chen, José Carlos Príncipe, 2015, Entropy.

Computational intelligence in control

Frank L. Lewis, Shuzhi Sam Ge, António E. Ruano, 2014, Annu. Rev. Control..

Correntropy: A Localized Similarity Measure

Weifeng Liu, José Carlos Príncipe, Puskal P. Pokharel, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Time based gain control for the analog to pulse converter

José Carlos Príncipe, Gabriel Nallathambi, 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Universal Approximation with Convex Optimization: Gimmick or Reality? [Discussion Forum]

Badong Chen, José Carlos Príncipe, J. Príncipe, 2015, IEEE Computational Intelligence Magazine.

Information theoretic learning applied to wind power modeling

Jun Wang, José Carlos Príncipe, Vladimiro Miranda, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Kernel Affine Projection Algorithms

Weifeng Liu, José Carlos Príncipe, J. Príncipe, 2008, EURASIP J. Adv. Signal Process..

Fusing attention with visual question answering

José Carlos Príncipe, Ryan Burt, Mihael Cudic, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

A Note on the W-S Lower Bound of the MEE Estimation

Nanning Zheng, Guangmin Wang, Badong Chen, 2014, Entropy.

Echo cancellation with the gamma filter

José Carlos Príncipe, Mahlar Palkar, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Image combination for high-field phased-array MRI

Erik G. Larsson, Deniz Erdogmus, Rui Yan, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Design of a reduced KII set and network in analog VLSI

José Carlos Príncipe, John G. Harris, Dongming Xu, 2003, Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03..

Kernel width adaptation in information theoretic cost functions

José Carlos Príncipe, Abhishek Singh, J. Príncipe, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

IEEE Fellows - Class of 2019 [Society Briefs]

José Carlos Príncipe, 2019, IEEE Comput. Intell. Mag..

Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion

Nanning Zheng, Badong Chen, Lei Xing, 2014, IEEE Signal Processing Letters.

Addressing low frequency movement artifacts in EEG signal recorded during center-out reaching tasks

José Carlos Príncipe, Mehrnaz Kh. Hazrati, Gavin R. Philips, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A mutual information extension to the matched filter

Deniz Erdogmus, José Carlos Príncipe, Rati Agrawal, 2005, Signal Process..

Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models

Deniz Erdogmus, José Carlos Príncipe, Justin C. Sanchez, 2003, Neural Networks.

Empirical data analysis: A new tool for data analytics

Plamen P. Angelov, Xiaowei Gu, José Carlos Príncipe, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Quantifying cognitive state from EEG using phase synchrony

Andreas Keil, José Carlos Príncipe, Lu Wan, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Efficient total least squares method for system modeling using minor component analysis

José Carlos Príncipe, Yadunandana N. Rao, J. Príncipe, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Recursive complex BSS via generalized eigendecomposition and application in image rejection for BPSK

Deniz Erdogmus, José Carlos Príncipe, Umut Ozertem, 2008, Signal Process..

A marked point process approach for identifying neural correlates of tics in Tourette Syndrome

José Carlos Príncipe, Aysegul Gunduz, Michael S. Okun, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Matched pdf-based blind equalization

Deniz Erdogmus, José Carlos Príncipe, Marcelino Lázaro, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Online Nonlinear Granger Causality Detection by Quantized Kernel Least Mean Square

Nanning Zheng, Badong Chen, Hong Ji, 2014, ICONIP.

Partitioning Relational Matrices of Similarities or Dissimilarities Using the Value of Information

José Carlos Príncipe, Isaac J. Sledge, J. Príncipe, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Spatio-temporal self-organizing feature maps

José Carlos Príncipe, Neil R. Euliano, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Transient model of EEG using Gini Index-based matching pursuit

José Carlos Príncipe, Carlos A. Loza, J. Príncipe, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A conditional distribution function based approach to design nonparametric tests of independence and conditional independence

José Carlos Príncipe, Sohan Seth, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

A nonparametric information theoretic approach for change detection in time series

José Carlos Príncipe, Songlin Zhao, 2011, The 2011 International Joint Conference on Neural Networks.

Exploring the time-frequency microstructure of speech for blind source separation

José Carlos Príncipe, Dongxin Xu, Hsiao-Chun Wu, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Analog hardware implementation of adaptive filter structures

José Carlos Príncipe, John G. Harris, Jui-Kuo Juan, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Enhancing the correntropy MACE filter with random projections

José Carlos Príncipe, Kyu-Hwa Jeong, J. Príncipe, 2008, Neurocomputing.

An algorithm based on non-squared sum of the errors

Allan Kardec Barros, José Carlos Príncipe, João Viana da Fonseca Neto, 2015, Signal Process..

Fast feedforward non-parametric deep learning network with automatic feature extraction

Plamen P. Angelov, Xiaowei Gu, José Carlos Príncipe, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Estimation of the mixing matrix for underdetermined blind source separation using spectral estimation techniques

Deniz Erdogmus, José Carlos Príncipe, Ignacio Santamaría, 2002, 2002 11th European Signal Processing Conference.

Hierarchical clustering of neural data using Linked-Mixtures of Hidden Markov Models for Brain Machine Interfaces

José Carlos Príncipe, Shalom Darmanjian, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Kernel Learning for Dynamic Texture Synthesis

Xinge You, Kan Li, Weigang Guo, 2016, IEEE Transactions on Image Processing.

Binary classification based on SVDD projection and nearest neighbors

José Carlos Príncipe, Jooyoung Park, Daesung Kang, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

A recursive Renyi's entropy estimator

Deniz Erdogmus, José Carlos Príncipe, Justin C. Sanchez, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

A new nonlinear similarity measure for multichannel signals

Andrzej Cichocki, José Carlos Príncipe, Jian-Wu Xu, 2008, Neural Networks.

Hierarchical Linear Dynamical Systems: A new model for clustering of time series

José Carlos Príncipe, Carlos A. Loza, Goktug T. Cinar, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Kernelized Q-Learning for Large-Scale, Potentially Continuous, Markov Decision Processes

José Carlos Príncipe, Isaac J. Sledge, J. Príncipe, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Generalized correlation function: definition, properties, and application to blind equalization

José Carlos Príncipe, Puskal P. Pokharel, Ignacio Santamaría, 2006, IEEE Transactions on Signal Processing.

The integrate-and-fire sampler: A special type of asynchronous Σ - Δ modulator

José Carlos Príncipe, Manu Rastogi, Alexander Singh-Alvarado, 2011, 2011 IEEE International Symposium of Circuits and Systems (ISCAS).

Mixture of designer experts for multi-regime detection in streaming data

José Carlos Príncipe, Choudur Lakshminarayan, Evan Kriminger, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Self organizing maps with the correntropy induced metric

José Carlos Príncipe, Rakesh Chalasani, J. Príncipe, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2005, EMMCVPR.

Correntropy Based Hierarchical Linear Dynamical System For Speech Recognition

José Carlos Príncipe, Rishabh Singh, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Theory and Algorithms for Pulse Signal Processing

José Carlos Príncipe, Gabriel Nallathambi, 2020, IEEE Transactions on Circuits and Systems I: Regular Papers.

A Spatiotemporal Filtering Methodology for Single-Trial ERP Component Estimation

José Carlos Príncipe, Ruijiang Li, Vera Ferrari, 2009, IEEE Transactions on Biomedical Engineering.

A closed form recursive solution for Maximum Correntropy training

José Carlos Príncipe, Abhishek Singh, J. Príncipe, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

A switch kernel width method of correntropy for channel estimation

Badong Chen, José Carlos Príncipe, Hua Qu, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Sparse analog associative memory via L1-regularization and thresholding

José Carlos Príncipe, Rakesh Chalasani, 2011, The 2011 International Joint Conference on Neural Networks.

An information-theoretic perspective to kernel independent components analysis

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

The gamma model--A new neural model for temporal processing

José Carlos Príncipe, Bert de Vries, J. Príncipe, 1992, Neural Networks.

A silicon olfactory bulb oscillator

José Carlos Príncipe, John G. Harris, Vítor M. Grade Tavares, 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).

Dynamic factor graphs: A novel framework for multiple features data fusion

K. Clint Slatton, José Carlos Príncipe, Kittipat Kampa, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

On initial convergence behavior of the kernel least mean square algorithm

Nanning Zheng, Badong Chen, Ren Wang, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Theories, Analysis and Bounds of the Finite-support Approximation for the Inverses of Mixing-phase Fir Systems

José Carlos Príncipe, Hsiao-Chun Wu, Shih Yu Chang, 2006 .

An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters

Weifeng Liu, José Carlos Príncipe, Il Memming Park, 2009, IEEE Transactions on Neural Networks.

Training neural networks with additive noise in the desired signal

Chuan Wang, José Carlos Príncipe, 1999, IEEE Trans. Neural Networks.

Extended Kalman filter using a kernel recursive least squares observer

Badong Chen, José Carlos Príncipe, Pingping Zhu, 2011, The 2011 International Joint Conference on Neural Networks.

Kernel adaptive filtering subject to equality function constraints

Nanning Zheng, Badong Chen, José Carlos Príncipe, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Multiresolution using principal component analysis

José Carlos Príncipe, Vic Brennan, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

A Normalized Minimum Error Entropy Stochastic Algorithm

José Carlos Príncipe, Kyu-Hwa Jeong, Seungju Han, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Repairing lesions via kernel adaptive inverse control in a biomimetic model of sensorimotor cortex

José Carlos Príncipe, William W. Lytton, Joseph T. Francis, 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).

Information Theory, Machine Learning, and Reproducing Kernel Hilbert Spaces

José Carlos Príncipe, J. Príncipe, 2010, Information Theoretic Learning.

Fast error whitening algorithms for system identification and control with noisy data

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2005, Neurocomputing.

Cyclostationary correntropy: Definition and applications

José Carlos Príncipe, Aluisio I. R. Fontes, Luiz F. Q. Silveira, 2017, Expert Syst. Appl..

A metric approach toward point process divergence

Austin J. Brockmeier, José Carlos Príncipe, Sohan Seth, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Group-Wise Point-Set Registration Based on Rényi's Second Order Entropy

José Carlos Príncipe, Luis Gonzalo Sánchez Giraldo, Murali Rao, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Predictive Coding Networks pdf

José Carlos Príncipe, Rakesh Chalasani, J. Príncipe, 2013, ICLR.

A Neuromorphic Monaural Sound Localizer

José Carlos Príncipe, John G. Harris, Chiang-Jung Pu, 1998, NIPS.

Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis

Deniz Erdogmus, José Carlos Príncipe, Umut Ozertem, 2006, J. VLSI Signal Process..

Unsupervised robust detection of behavioral correlates in ECoG

José Carlos Príncipe, Carlos A. Loza, 2017, 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER).

Sparse kernel recursive least squares using L1 regularization and a fixed-point sub-iteration

Nanning Zheng, Badong Chen, José Carlos Príncipe, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fixed budget quantized kernel least-mean-square algorithm

Badong Chen, José Carlos Príncipe, Pingping Zhu, 2013, Signal Process..

A scalable RC architecture for mean-shift clustering

Alan D. George, Herman Lam, José Carlos Príncipe, 2013, 2013 IEEE 24th International Conference on Application-Specific Systems, Architectures and Processors.

Analysis of Biomedical Signals by the Lempel-Ziv Complexity: the Effect of Finite Data Size

Jing Hu, Jianbo Gao, José Carlos Príncipe, 2006, IEEE Transactions on Biomedical Engineering.

Fast RLS-Like Algorithm for Generalized Eigendecomposition and its Applications

José Carlos Príncipe, Yadunandana N. Rao, Tan F. Wong, 2004, J. VLSI Signal Process..

Estimation of symmetric chi-square divergence for point processes

José Carlos Príncipe, Sohan Seth, Murali Rao, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Associations among Image Assessments as Cost Functions in Linear Decomposition: MSE, SSIM, and Correlation Coefficient pdf

Nanning Zheng, Badong Chen, José Carlos Príncipe, 2017, ArXiv.

2011 Ieee International Workshop on Machine Learning for Signal Processing an Adaptive Decoder from Spike Trains to Micro-stimulation Using Kernel Least-mean-squares (klms)

José Carlos Príncipe, Sohan Seth, Justin C. Sanchez, 2022 .

Exponential C-Loss for data fitting

Nanning Zheng, Badong Chen, Ren Wang, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Stochastic error whitening algorithm for linear filter estimation with noisy data

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2003, Neural Networks.

Survival kernel with application to kernel adaptive filtering

Nanning Zheng, Badong Chen, José Carlos Príncipe, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Dynamical analysis of neural oscillators in an olfactory cortex model

José Carlos Príncipe, Dongming Xu, J. Príncipe, 2004, IEEE Transactions on Neural Networks.

Lower and Upper Bounds for Misclassification Probability Based on Renyi's Information

Deniz Erdogmus, José Carlos Príncipe, Deniz Erdoğmuş, 2004, J. VLSI Signal Process..

An adaptive kernel width update for correntropy

Badong Chen, José Carlos Príncipe, Songlin Zhao, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Quantification of inter-trial non-stationarity in spike trains from periodically stimulated neural cultures

José Carlos Príncipe, Il Park, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Transient Signal Detection with Neural Networks: The Search for the Desired Signal

Abir Zahalka, José Carlos Príncipe, J. Príncipe, 1992, NIPS.

Spike Sorting Using non Parametric Clustering VIA Cauchy Schwartz PDF Divergence

José Carlos Príncipe, Justin C. Sanchez, Seungju Han, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Linear Projection Method Based on Information Theoretic Learning

Pablo A. Estévez, José Carlos Príncipe, Pablo A. Vera, 2010, ICANN.

A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces

José Carlos Príncipe, Yiwen Wang, Justin C. Sanchez, 2007, 2007 International Joint Conference on Neural Networks.

Error whitening criterion for adaptive filtering: theory and algorithms

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2005, IEEE Transactions on Signal Processing.

Learning mappings in brain machine interfaces with echo state networks

Deniz Erdogmus, José Carlos Príncipe, Justin C. Sanchez, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Δ-Entropy: Definition, properties and applications in system identification with quantized data

Badong Chen, José Carlos Príncipe, Jinchun Hu, 2011, Inf. Sci..

Nearest Neighbor Distributions for imbalanced classification

José Carlos Príncipe, Choudur Lakshminarayan, Evan Kriminger, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

On speeding up computation in information theoretic learning

José Carlos Príncipe, Sohan Seth, 2009, 2009 International Joint Conference on Neural Networks.

Neuro-Fuzzy Classification Using the Correntropy Criterion: Application to Sleep Depth Estimation

José Carlos Príncipe, Diego Álvarez-Estévez, Vicente Moret-Bonillo, 2010, IC-AI.

A Theory for Neural Networks with Time Delays

José Carlos Príncipe, Bert de Vries, J. Príncipe, 1990, NIPS.

The Laplacian spectral classifier

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Analyzing dependence structure of the human brain in response to visual stimuli

Andreas Keil, José Carlos Príncipe, Sohan Seth, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Temporal context in object recognition

José Carlos Príncipe, Rakesh Chalasani, J. Príncipe, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Kernel Principal Components Are Maximum Entropy Projections

José Carlos Príncipe, Jian-Wu Xu, António R. C. Paiva, 2006, ICA.

Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2006, J. VLSI Signal Process..

A NOVEL, FULLY AUTOMATED PIPELINE FOR PERIOD ESTIMATION IN THE EROS 2 DATA SET pdf

Pavlos Protopapas, Pablo A. Estévez, José Carlos Príncipe, 2014, ArXiv.

Accurate linear parameter estimation in colored noise

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Joint Conference on Neural Networks , Orlando , Florida , USA , August 12-17 , 2007 Information Theoretic Vector Quantization with Fixed Point Updates

José Carlos Príncipe, Seungju Han, Sudhir Rao, 2007 .

Minimum Error Entropy Algorithms with Sparsity Penalty Constraints

Zongze Wu, Wentao Ma, Badong Chen, 2015, Entropy.

Insights into Entropy as a Measure of Multivariate Variability

Badong Chen, José Carlos Príncipe, Jianji Wang, 2016, Entropy.

Modeling of Synchronized Burst in Dissociated Cortical Tissue: An Exploration of Parameter Space

José Carlos Príncipe, Dongming Xu, Il Park, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Kernel adaptive filtering with confidence intervals

Badong Chen, Kan Li, José Carlos Príncipe, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

A real-time reconstruction algorithm for the integrate and fire sampler

José Carlos Príncipe, Alexander Singh-Alvarado, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels

José Carlos Príncipe, Shujian Yu, Xiaoyang Wang, 2018, IJCAI.

Robust EEG preprocessing for dependence-based condition discrimination

Andreas Keil, José Carlos Príncipe, Sohan Seth, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

The Laplacian Classifier

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2007, IEEE Transactions on Signal Processing.

A Novel Weighted LBG Algorithm for Neural Spike Compression

José Carlos Príncipe, António R. C. Paiva, Sudhir Rao, 2007, 2007 International Joint Conference on Neural Networks.

Training MLPs layer-by-layer with the information potential

José Carlos Príncipe, Dongxin Xu, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Prerequesites for symbiotic brain-machine interfaces

José Carlos Príncipe, Justin C. Sanchez, J. Príncipe, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Robust support vector machines based on the rescaled hinge loss function

Zheng Cao, José Carlos Príncipe, Bao-Gang Hu, 2017, Pattern Recognition.

Group feature selection in image classification with multiple kernel learning

Zheng Cao, Bing Ouyang, José Carlos Príncipe, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Diffusion least-mean squares over adaptive networks with dynamic topologies

José Carlos Príncipe, Bilal Fadlallah, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Special topic section on advances in statistical signal processing for medicine

Shun-ichi Amari, José Carlos Príncipe, Sergio Cerutti, 2000, IEEE Trans. Biomed. Eng..

A Recursive Online Kernel PCA Algorithm

José Carlos Príncipe, Luis Gonzalo Sánchez Giraldo, Erion Hasanbelliu, 2010, 2010 20th International Conference on Pattern Recognition.

Density-dependent quantized kernel least mean square

Nanning Zheng, Lei Sun, Badong Chen, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Comparison of Static Neural Network with External Memory and RNNs for Deterministic Context Free Language Learning

Ying Ma, José Carlos Príncipe, J. Príncipe, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Measuring the signal-to-noise ratio in magnetic resonance imaging: a caveat

Erik G. Larsson, Deniz Erdogmus, Rui Yan, 2004, Signal Process..

A new classifier based on information theoretic learning with unlabeled data

Deniz Erdogmus, José Carlos Príncipe, Jian-Wu Xu, 2005, Neural Networks.

An Extended Result on the Optimal Estimation Under the Minimum Error Entropy Criterion

Nanning Zheng, Guangmin Wang, Badong Chen, 2014, Entropy.

A Pitch Detector Based on a Generalized Correlation Function

José Carlos Príncipe, Jian-Wu Xu, J. Príncipe, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

An Adaptive Algorithm Based On The Sigmoidal Function

Allan Kardec Barros, Raimundo Carlos Silvério Freire, José Carlos Príncipe, 2006, 2006 Ninth Brazilian Symposium on Neural Networks (SBRN'06).

Surprise-Novelty Information Processing for Gaussian Online Active Learning (SNIP-GOAL)

Kan Li, José Carlos Príncipe, J. Príncipe, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Correntropy kernel temporal differences for reinforcement learning brain machine interfaces

José Carlos Príncipe, Luis Gonzalo Sánchez Giraldo, Joseph T. Francis, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

An information-theoretic approach to motor action decoding with a reconfigurable parallel architecture

Alan D. George, Herman Lam, Austin J. Brockmeier, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A new method of concurrently visualizing states, values, and actions in reinforcement based brain machine interfaces

José Carlos Príncipe, Justin C. Sanchez, Luis Gonzalo Sánchez Giraldo, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A biphasic integrate-and-fire system

Jie Xu, José Carlos Príncipe, Manu Rastogi, 2009, 2009 IEEE International Symposium on Circuits and Systems.

Nonlinear Component Analysis Based on Correntropy

José Carlos Príncipe, Jian-Wu Xu, Puskal P. Pokharel, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Improving ATR performance by incorporating virtual negative examples

José Carlos Príncipe, Qun Zhao, J. Príncipe, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Survival Information Potential: A New Criterion for Adaptive System Training

Badong Chen, José Carlos Príncipe, Pingping Zhu, 2012, IEEE Transactions on Signal Processing.

Quantized Kernel Recursive Least Squares Algorithm

Badong Chen, José Carlos Príncipe, Pingping Zhu, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Autoencoders trained with relevant information: Blending Shannon and Wiener's perspectives

Eder Santana, José Carlos Príncipe, Shujian Yu, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the use of neural networks in the generalized likelihood ratio test for detecting abrupt changes in signals

José Carlos Príncipe, Craig L. Fancourt, J. Príncipe, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

A Unified Framework for Quadratic Measures of Independence

José Carlos Príncipe, Sohan Seth, Il Memming Park, 2011, IEEE Transactions on Signal Processing.

A new nonparametric measure of conditional independence

José Carlos Príncipe, Sohan Seth, Il Park, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Experimental upper bound for the performance of convolutive source separation methods

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2006, IEEE Transactions on Signal Processing.

Speech classification using a modified focused gamma network

José Carlos Príncipe, Jyh-Ming Kuo, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning

José Carlos Príncipe, Jian-Wu Xu, Il Park, 2008, IEEE Transactions on Signal Processing.

Kernel least mean square algorithm with constrained growth

Weifeng Liu, José Carlos Príncipe, Puskal P. Pokharel, 2009, Signal Process..

Kernel Methods on Spike Train Space for Neuroscience: A Tutorial

José Carlos Príncipe, Sohan Seth, Il Park, 2013, IEEE Signal Processing Magazine.

Liquid state machines and cultured cortical networks: The separation property

José Carlos Príncipe, Ping He, Il Park, 2009, Biosyst..

Approximate reconstruction of bandlimited functions for the integrate and fire sampler

José Carlos Príncipe, Hans G. Feichtinger, Alexander Singh-Alvarado, 2012, Adv. Comput. Math..

Robust Blind Simo Channel Estimation Using Adatron

Liuqing Yang, José Carlos Príncipe, Ignacio Santamaría, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Linear discriminant analysis with an information divergence criterion

José Carlos Príncipe, Matthew Emigh, Matthew S. Emigh, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response

Amparo Alonso-Betanzos, Enrique F. Castillo, Deniz Erdogmus, 2005, IEEE Transactions on Neural Networks.

The Embedding Transform. A Novel Analysis of Non-Stationarity in the EEG

José Carlos Príncipe, Carlos A. Loza, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures

Deniz Erdogmus, José Carlos Príncipe, Jian-Wu Xu, 2004, ICA.

Functional relevant multichannel kernel adaptive filter for human activity analysis

Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez, José Carlos Príncipe, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Information theoretic clustering

José Carlos Príncipe, Erhan Gokcay, J. Príncipe, 2002, Scholarpedia.

Magnitude spectral estimation via Poisson moments with application to speech recognition

José Carlos Príncipe, Samel Çelebi, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Correntropy induced joint power and admission control algorithm for dense small cell network

Badong Chen, José Carlos Príncipe, Hua Qu, 2016, IET Commun..

Flight dynamics modeling and recognition using finite state machine for automatic insect recognition

Kan Li, José Carlos Príncipe, J. Príncipe, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Period detection in light curves from astronomical objects using correntropy

Pavlos Protopapas, Pablo A. Estévez, José Carlos Príncipe, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Kernel Temporal Differences for Neural Decoding

José Carlos Príncipe, Justin C. Sanchez, Luis Gonzalo Sánchez Giraldo, 2015, Comput. Intell. Neurosci..

2018 IEEE CIS Awards [Society Briefs]

José Carlos Príncipe, 2018, IEEE Comput. Intell. Mag..

Neurally Encoding Time for Olfactory Navigation

José Carlos Príncipe, Andrew M. Hein, In Jun Park, 2016, PLoS Comput. Biol..

Cyborg Intelligence: Towards Bio-Machine Intelligent Systems

Zhaohui Wu, Gang Pan, Andrzej Cichocki, 2014, IEEE Intelligent Systems.

Variable Selection: A Statistical Dependence Perspective

José Carlos Príncipe, Sohan Seth, J. Príncipe, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Blind source separation using Renyi's -marginal entropies

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2002, Neurocomputing.

Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems

David Luengo, Deniz Erdogmus, José Carlos Príncipe, 2002, ICANN.

Asymptotic SNR-performance of some image combination techniques for phased-array MRI

Erik G. Larsson, Deniz Erdogmus, Rui Yan, 2004, Signal Process..

An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves

Pavlos Protopapas, Pablo A. Estévez, José Carlos Príncipe, 2012, IEEE Transactions on Signal Processing.

Beyond second-order statistics for learning: A pairwise interaction model for entropy estimation

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2002, Natural Computing.

Generalized Correntropy Matching Pursuit: A novel, robust algorithm for sparse decomposition

José Carlos Príncipe, Carlos A. Loza, J. Príncipe, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A greedy algorithm for model selection of tensor decompositions

Andrzej Cichocki, Austin J. Brockmeier, José Carlos Príncipe, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering

Nanning Zheng, Badong Chen, Lei Xing, 2016, IEEE Transactions on Signal Processing.

Generalized Correntropy for Robust Adaptive Filtering

Nanning Zheng, Badong Chen, Lei Xing, 2015, IEEE Transactions on Signal Processing.

Correntropy as a novel measure for nonlinearity tests

José Carlos Príncipe, Aysegul Gunduz, 2009, Signal Process..

Nearest-Instance-Centroid-Estimation Linear Discriminant Analysis (Nice Lda)

Kan Li, José Carlos Príncipe, Rishabh Singh, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Modeling and inverse controller design for an unmanned aerial vehicle based on the self-organizing map

Jeongho Cho, Deniz Erdogmus, José Carlos Príncipe, 2006, IEEE Transactions on Neural Networks.

Balancing exploration and exploitation in reinforcement learning using a value of information criterion

José Carlos Príncipe, Isaac J. Sledge, J. Príncipe, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Parametric least squares approximation using gamma bases

José Carlos Príncipe, Samel Çelebi, J. Príncipe, 1995, IEEE Trans. Signal Process..

Trimmed affine projection algorithms

Nanning Zheng, Badong Chen, Hong Ji, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Determining Patterns in Neural Activity for Reaching Movements Using Nonnegative Matrix Factorization

Deniz Erdogmus, José Carlos Príncipe, Justin C. Sanchez, 2005, EURASIP J. Adv. Signal Process..

Reproducing kernel Hilbert spaces for spike train analysis

José Carlos Príncipe, Il Park, António R. C. Paiva, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Filter & hold: a mixed continuous‐/discrete‐time technique for time‐constant scaling

José Carlos Príncipe, Cândido Duarte, Vítor Grade Tavares, 2015, Int. J. Circuit Theory Appl..

GLOBAL OPTIMIZATION ALGORITHMS FOR ADAPTIVE INFINITE IMPULSE RESPONSE FILTERS By CHING-AN LAI A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY UNIVERSITY OF FLORIDA

Yuguang Fang, José Carlos Príncipe, Haniph A. Latchman, 2002 .

Using non-linear even functions for error minimization in adaptive filters

Allan Kardec Barros, José Carlos Príncipe, Noboru Ohnishi, 2006, Neurocomputing.

Robust on-line Principal Component Analysis based on a fixed-point approach

José Carlos Príncipe, Yadunandana N. Rao, J. Príncipe, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A minimum-error entropy criterion with self-adjusting step-size (MEE-SAS)

Deniz Erdogmus, José Carlos Príncipe, Kyu-Hwa Jeong, 2007, Signal Process..

One-class classifier based on extreme value statistics

Amparo Alonso-Betanzos, José Carlos Príncipe, Oscar Fontenla-Romero, 2012, ESANN.

Correntropy: Properties and Applications in Non-Gaussian Signal Processing

Weifeng Liu, José Carlos Príncipe, Puskal P. Pokharel, 2007, IEEE Transactions on Signal Processing.

An Analysis of the Value of Information When Exploring Stochastic, Discrete Multi-Armed Bandits

José Carlos Príncipe, Isaac J. Sledge, J. Príncipe, 2017, Entropy.

Assessing Granger Non-Causality Using Nonparametric Measure of Conditional Independence

José Carlos Príncipe, Sohan Seth, J. Príncipe, 2012, IEEE Transactions on Neural Networks and Learning Systems.

An efficient rank-deficient computation of the Principle of Relevant Information

José Carlos Príncipe, Luis Gonzalo Sánchez Giraldo, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Autocorrelation features for synthetic aperture sonar image seabed segmentation

José Carlos Príncipe, James Tory Cobb, J. Príncipe, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

A Study of Musical Pitch Distance Using a Self-Organized Hierarchical Linear Dynamical System on Acoustic Signals

José Carlos Príncipe, Goktug T. Cinar, James Paul Sain, 2016, Computer Music Journal.

Quantized mixture kernel least mean square

José Carlos Príncipe, Sohan Seth, Rosha Pokharel, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

"Trends" Expert Overview Sessions Revived at ICASSP 2011 [In the Spotlight]

José Carlos Príncipe, Alle-Jan van der Veen, 2011, IEEE Signal Process. Mag..

An Association Framework to Analyze Dependence Structure in Time Series

Austin J. Brockmeier, Andreas Keil, José Carlos Príncipe, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Mixture of competitive linear models for phased-array magnetic resonance imaging

Erik G. Larsson, Deniz Erdogmus, Rui Yan, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Fast spatio-temporal decorrelation using FIR filter network with decoupled adaptive step sizes

José Carlos Príncipe, Jianyi Liu, Arash Andalib, 2020, Digit. Signal Process..

Projentropy: Using entropy to optimize spatial projections

Austin J. Brockmeier, Eder Santana, José Carlos Príncipe, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Effective insect recognition using a stacked autoencoder with maximum correntropy criterion

José Carlos Príncipe, Yu Qi, Yueming Wang, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Some Equivalences between Kernel Methods and Information Theoretic Methods

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2006, J. VLSI Signal Process..

A loss function for classification based on a robust similarity metric

José Carlos Príncipe, Abhishek Singh, J. Príncipe, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Incremental backpropagation learning networks

José Carlos Príncipe, Hui-Huang Hsu, LiMin Fu, 1996, IEEE Trans. Neural Networks.

Corrigendum to "Cyclostationary Correntropy: Definition and applications" [Expert Systems with Applications 69 (2017) 110-117]

José Carlos Príncipe, Aluisio I. R. Fontes, Luiz F. Q. Silveira, 2017, Expert Syst. Appl..

Fault detection via recurrence time statistics and one-class classification

Amparo Alonso-Betanzos, José Carlos Príncipe, Oscar Fontenla-Romero, 2016, Pattern Recognit. Lett..

Extraction of Signals With Specific Temporal Structure Using Kernel Methods

Allan Kardec Barros, Raimundo Carlos Silvério Freire, Eder Santana, 2010, IEEE Transactions on Signal Processing.

Information Theoretic Signal Processing

Deniz Erdogmus, José Carlos Príncipe, 2005, Signal Process..

Integrate and Fire Pulse Train Automaton for QRS detection

José Carlos Príncipe, Gabriel Nallathambi, J. Príncipe, 2014, IEEE Transactions on Biomedical Engineering.

An Associative Memory Readout in ESN for Neural Action Potential Detection

José Carlos Príncipe, Justin C. Sanchez, Mustafa C. Ozturk, 2007, 2007 International Joint Conference on Neural Networks.

Chaotic dynamics of time-delay neural networks

José Carlos Príncipe, P.-C. Lo, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing

José Carlos Príncipe, Il Park, António R. C. Paiva, 2009, Neural Computation.

Simulation of Human Speech Production Applied to the Study and Synthesis of European Portuguese

António J. S. Teixeira, José Carlos Príncipe, Luis M. T. Jesus, 2005, EURASIP J. Adv. Signal Process..

Locating spatial patterns of waveforms during sensory perception in scalp EEG

Austin J. Brockmeier, José Carlos Príncipe, Walter J. Freeman, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Do Hebbian synapses estimate entropy?

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Guest Editorial: Brain/neuronal - Computer game interfaces and interaction

Anton Nijholt, Damien Coyle, José Carlos Príncipe, 2013, IEEE Trans. Comput. Intell. AI Games.

Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications

José Carlos Príncipe, Shujian Yu, Ammar Shaker, 2020, IJCAI.

Stochastic blind equalization based on PDF fitting using Parzen estimator

Deniz Erdogmus, José Carlos Príncipe, Marcelino Lázaro, 2005, IEEE Transactions on Signal Processing.

Clustering Based Kernel Reinforcement Learning for Neural Adaptation in Brain-Machine Interfaces

Xiang Zhang, José Carlos Príncipe, Yiwen Wang, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Recursive Least Squares for an Entropy Regularized MSE Cost Function

Amparo Alonso-Betanzos, Deniz Erdogmus, José Carlos Príncipe, 2003, ESANN.

Selecting neural subsets for kinematics decoding by information theoretical analysis in motor Brain Machine Interfaces

José Carlos Príncipe, Yiwen Wang, Justin C. Sanchez, 2009, 2009 International Joint Conference on Neural Networks.

Real time signal reconstruction from spikes on a digital signal processor

Jie Xu, José Carlos Príncipe, Manu Rastogi, 2008, 2008 IEEE International Symposium on Circuits and Systems.

A flexible testing environment for visual question answering with performance evaluation

Eder Santana, José Carlos Príncipe, Ryan Burt, 2018, Neurocomputing.

An Information-theoretic Approach for Automatically Determining the Number of State Groups When Aggregating Markov Chains

José Carlos Príncipe, Isaac J. Sledge, J. Príncipe, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Convergence of Machine and Biological Intelligence

Zhaohui Wu, Vera Kaiser, Gernot R. Müller-Putz, 2013, IEEE Intelligent Systems.

Boosted and Linked Mixtures of HMMs for Brain-Machine Interfaces

José Carlos Príncipe, Shalom Darmanjian, J. Príncipe, 2008, EURASIP J. Adv. Signal Process..

Neural Decoding with Kernel-Based Metric Learning

Austin J. Brockmeier, José Carlos Príncipe, Joseph T. Francis, 2014, Neural Computation.

Noise reduction in state space using the focused gamma neural network

José Carlos Príncipe, Jyh-Ming Kuo, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters

José Carlos Príncipe, John G. Harris, Il Park, 2007, 2007 International Joint Conference on Neural Networks.

Modeling the precedence effect for speech using the gamma filter

José Carlos Príncipe, John G. Harris, Odelia Schwartz, 1999, Neural Networks.

Fixed-budget kernel recursive least-squares

Weifeng Liu, José Carlos Príncipe, Ignacio Santamaría, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Performance evaluation of the correntropy coefficient in automatic modulation classification

José Carlos Príncipe, Aluisio I. R. Fontes, Luiz F. Q. Silveira, 2015, Expert Syst. Appl..

Kernel classifier with Correntropy loss

José Carlos Príncipe, Rosha Pokharel, J. Príncipe, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Editorial

José Carlos Príncipe, 2004, IEEE Trans. Biomed. Eng..

Measure of Statistical Dependence

José Carlos Príncipe, 2012, ICPRAM.

Effects of source-tract interaction in perception of nasality

António J. S. Teixeira, José Carlos Príncipe, Francisco A. C. Vaz, 1999, EUROSPEECH.

Neural network classification of event related potentials for the design of a new computer interface

José Carlos Príncipe, Murat Taner, Christopher Konger, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

Feature extraction using information-theoretic learning

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Automatic plant identification using stem automata

Kan Li, Ying Ma, José Carlos Príncipe, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Nonlinear dynamic modeling of the voiced excitation for improved speech synthesis

José Carlos Príncipe, Donald G. Childers, Karthik Narasimhan, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Dynamic sparse coding with smoothing proximal gradient method

José Carlos Príncipe, Rakesh Chalasani, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Stochastic Information Gradient Algorithm with Generalized Gaussian Distribution Model

Badong Chen, José Carlos Príncipe, Jinchun Hu, 2012, J. Circuits Syst. Comput..

Predicting visual attention using gamma kernels

Andreas Keil, Eder Santana, José Carlos Príncipe, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Simultaneous extraction of Principal Components using givens rotations and output variances

Jing Zhao, Deniz Erdogmus, José Carlos Príncipe, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Quantifying Cognitive State From EEG Using Dependence Measures

Andreas Keil, José Carlos Príncipe, Sohan Seth, 2012, IEEE Transactions on Biomedical Engineering.

Quantitative Analysis of a Marked Point Process based Sleep Spindle Detector (MPP-SSD)

José Carlos Príncipe, Shailaja Akella, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Competitive principal component analysis for locally stationary time series

José Carlos Príncipe, Craig L. Fancourt, 1998, IEEE Trans. Signal Process..

Reinforcement Learning in Video Games Using Nearest Neighbor Interpolation and Metric Learning

Panos M. Pardalos, Austin J. Brockmeier, José Carlos Príncipe, 2016, IEEE Transactions on Computational Intelligence and AI in Games.

Linear Least-Squares Based Methods for Neural Networks Learning

Amparo Alonso-Betanzos, Enrique F. Castillo, Deniz Erdogmus, 2003, ICANN.

Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces

José Carlos Príncipe, Yiwen Wang, Justin C. Sanchez, 2009, Neural Computation.

Blind separation of convolutive mixtures

José Carlos Príncipe, Hsiao-Chun Wu, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

On the convergence of SIPEX: a simultaneous principal components extraction algorithm

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks

Amparo Alonso-Betanzos, José Carlos Príncipe, Oscar Fontenla-Romero, 1998, NC.

Temporal self-organization through competitive prediction

José Carlos Príncipe, Craig L. Fancourt, J. Príncipe, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Generalized information potential criterion for adaptive system training

Deniz Erdogmus, José Carlos Príncipe, Deniz Erdoğmuş, 2002, IEEE Trans. Neural Networks.

Marine Animal Classification With Correntropy-Loss-Based Multiview Learning

Zheng Cao, Bing Ouyang, José Carlos Príncipe, 2019, IEEE Journal of Oceanic Engineering.

Context analysis by the gamma neural network

José Carlos Príncipe, Hui-Huang Hsu, LiMin Fu, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2004, Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004..

An analysis of the gamma memory in dynamic neural networks

José Carlos Príncipe, Jyh-Ming Kuo, Samel Çelebi, 1994, IEEE Trans. Neural Networks.

Generalized Oja's rule for linear discriminant analysis with Fisher criterion

Chuan Wang, José Carlos Príncipe, Dongxin Xu, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Classification of hand movement direction based on EEG high-gamma activity

José Carlos Príncipe, Carlos A. Loza, Mehrnaz Kh. Hazrati, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A comparison of binless spike train measures

José Carlos Príncipe, Il Memming Park, Il Park, 2010, Neural Computing and Applications.

Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors]

Sergios Theodoridis, Klaus-Robert Müller, Kenji Fukumizu, 2013, IEEE Signal Process. Mag..

Multiple adaptive kernel size KLMS for Beijing PM2.5 prediction

Badong Chen, Zheng Cao, José Carlos Príncipe, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Target discrimination in synthetic aperture radar using artificial neural networks

John W. Fisher, Munchurl Kim, José Carlos Príncipe, 1998, IEEE Trans. Image Process..

An adaptive duty-cycle methodology for PV power maximization using a single variable

José Carlos Príncipe, Vítor Grade Tavares, Andre A. Vidal, 2013, Eurocon 2013.

The gamma-filter-a new class of adaptive IIR filters with restricted feedback

José Carlos Príncipe, Bert de Vries, Pedro Guedes de Oliveira, 1993, IEEE Trans. Signal Process..

Computation in a reduced KII network based on synchronization

José Carlos Príncipe, Dongming Xu, J. Príncipe, 2006, Int. J. Intell. Syst..

Advances in Brain Machine Interfaces

José Carlos Príncipe, 2012, BIODEVICES.

Logic computation using coupled neural oscillators

José Carlos Príncipe, John G. Harris, Dongming Xu, 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

A new clustering evaluation function using Renyi's information potential

José Carlos Príncipe, Erhan Gokcay, J. Príncipe, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Kernel LMS

Weifeng Liu, José Carlos Príncipe, Puskal P. Pokharel, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Pitch estimation using non-negative matrix factorization

José Carlos Príncipe, Goktug T. Cinar, Ryan Burt, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Minimum Error Entropy Kalman Filter pdf

Nanning Zheng, Badong Chen, José Carlos Príncipe, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Information Force Clustering Using Directed Trees

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2003, EMMCVPR.

A Monte Carlo Sequential Estimation for Point Process Optimum Filtering

José Carlos Príncipe, Yiwen Wang, António R. C. Paiva, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Towards Real-Time Distributed Signal Modeling for Brain-Machine Interfaces

Renato J. O. Figueiredo, Loris Marchal, José Carlos Príncipe, 2007, International Conference on Computational Science.

Bimodal brain-machine interface for motor control of robotic prosthetic

José Carlos Príncipe, Michael C. Nechyba, Shalom Darmanjian, 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

Robust bounded logistic regression in the class imbalance problem

José Carlos Príncipe, Bao-Gang Hu, Guibiao Xu, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A novel family of non-parametric cumulative based divergences for point processes

Austin J. Brockmeier, José Carlos Príncipe, Sohan Seth, 2010, NIPS.

"Trends" Expert Overview Sessions Revived at ICASSP 2011: Part 2

José Carlos Príncipe, Alle-Jan van der Veen, 2011, IEEE Signal Process. Mag..

Clustering Approach to Quantify Long-Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalography

Deniz Erdogmus, José Carlos Príncipe, Anant Hegde, 2007, Comput. Intell. Neurosci..

Spectral Clustering of Synchronous Spike Trains

José Carlos Príncipe, Il Park, António R. C. Paiva, 2007, 2007 International Joint Conference on Neural Networks.

Correntropy-based spectrum sensing for wireless microphones in man-made noise environments

José Carlos Príncipe, Jongmin Lee, J. Príncipe, 2012, 2012 3rd International Workshop on Cognitive Information Processing (CIP).

Period Estimation in Astronomical Time Series Using Slotted Correntropy

Pavlos Protopapas, Pablo A. Estévez, José Carlos Príncipe, 2011, IEEE Signal Processing Letters.

Reinforcement learning via kernel temporal difference

José Carlos Príncipe, Justin C. Sanchez, Joseph T. Francis, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Online efficient learning with quantized KLMS and L1 regularization

Badong Chen, José Carlos Príncipe, Sohan Seth, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Feature selection based on survival Cauchy-Schwartz mutual information

Nanning Zheng, Badong Chen, José Carlos Príncipe, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Supervised training of adaptive systems with partially labeled data

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Local Linear PID Controllers for Nonlinear Control

Jeongho Cho, Deniz Erdogmus, José Carlos Príncipe, 2005, Control. Intell. Syst..

Accelerating the convergence speed of neural networks learning methods using least squares

Amparo Alonso-Betanzos, Enrique F. Castillo, Deniz Erdogmus, 2003, ESANN.

Local Hammerstein modeling based on self-organizing map

Jeongho Cho, José Carlos Príncipe, Mark A. Motter, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Insights on the relationship between probability of misclassification and information transfer through classifiers

Deniz Erdogmus, José Carlos Príncipe, 2002, Int. J. Comput. Syst. Signals.

Real time input subset selection for linear time-variant MIMO systems

José Carlos Príncipe, Justin C. Sanchez, Sung-Phil Kim, 2007, Optim. Methods Softw..

Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks

Amparo Alonso-Betanzos, Enrique F. Castillo, José Carlos Príncipe, 2002, ICANN.

Kernel adaptive filtering with maximum correntropy criterion

Badong Chen, José Carlos Príncipe, Songlin Zhao, 2011, The 2011 International Joint Conference on Neural Networks.

Modeling Applications with the Focused Gamma Net

José Carlos Príncipe, Bert de Vries, Pedro Guedes de Oliveira, 1991, NIPS.

Context Dependent Encoding Using Convolutional Dynamic Networks

José Carlos Príncipe, Rakesh Chalasani, J. Príncipe, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Adaptive WRLS-VFF for speech analysis

José Carlos Príncipe, Donald G. Childers, Y. T. Ting, 1995, IEEE Trans. Speech Audio Process..

Analysis of Short Term Memories for Neural Networks

José Carlos Príncipe, Hui-Huang Hsu, Jyh-Ming Kuo, 1993, NIPS.

An Exact Reformulation of Feature-Vector-Based Radial-Basis-Function Networks for Graph-Based Observations

José Carlos Príncipe, Isaac J. Sledge, J. Príncipe, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Explicit versus implicit source estimation for blind multiple input single output system identification

Austin J. Brockmeier, José Carlos Príncipe, J. Príncipe, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Optimization in companion search spaces: the case of cross-entropy and the Levenberg-Marquardt algorithm

José Carlos Príncipe, Craig L. Fancourt, J. Príncipe, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Decoding stimuli from multi-source neural responses

José Carlos Príncipe, Justin C. Sanchez, Joseph T. Francis, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A neighborhood map of competing one step predictors for piecewise segmentation and identification of time series

José Carlos Príncipe, Craig L. Fancoua, J. Príncipe, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Separating spatial and temporal activation patterns in fMRI using competitive subspace projection

Yijun Liu, Deniz Erdogmus, Rui Yan, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

A fast proximal method for convolutional sparse coding

José Carlos Príncipe, Naveen Ramakrishnan, Rakesh Chalasani, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

An Explicit Construction Of A Reproducing Gaussian Kernel Hilbert Space

José Carlos Príncipe, Jian-Wu Xu, Kyu-Hwa Jeong, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Extended Kernel Recursive Least Squares Algorithm

Weifeng Liu, José Carlos Príncipe, Yiwen Wang, 2009, IEEE Transactions on Signal Processing.

Complex Correntropy: Probabilistic Interpretation and Application to Complex-Valued Data

José Carlos Príncipe, Aluisio I. R. Fontes, João P. F. Guimarães, 2017, IEEE Signal Processing Letters.

Convergence properties and data efficiency of the minimum error entropy criterion in ADALINE training

Deniz Erdogmus, José Carlos Príncipe, Deniz Erdoğmuş, 2003, IEEE Trans. Signal Process..

Mapping broadband electrocorticographic recordings to two-dimensional hand trajectories in humans: Motor control features

José Carlos Príncipe, Justin C. Sanchez, Aysegul Gunduz, 2009, Neural Networks.

A novel measure for independent component analysis (ICA)

John W. Fisher, José Carlos Príncipe, Dongxin Xu, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

On the relationship between the Karhunen-Loeve transform and the prolate spheroidal wave functions

José Carlos Príncipe, Craig L. Fancourt, J. Príncipe, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Adaptive target detection in UWB images using Laguerre network

José Carlos Príncipe, Dongxin Xu, Li-Kang Yen, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

A neural implementation of interpolation with a family of kernels

José Carlos Príncipe, Frank M. Candocia, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Learning joint features for color and depth images with Convolutional Neural Networks for object classification

Eder Santana, José Carlos Príncipe, Karl P. Dockendorf, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Invexity of the Minimum Error Entropy Criterion

Panos M. Pardalos, José Carlos Príncipe, Mujahid N. Syed, 2013, IEEE Signal Processing Letters.

Rate-Distortion Auto-Encoders pdf

José Carlos Príncipe, Luis Gonzalo Sánchez Giraldo, J. Príncipe, 2013, ICLR.

Cooperative Diversity of Spectrum Sensing in Cognitive Radio Networks

Liuqing Yang, José Carlos Príncipe, Dongliang Duan, 2009, 2009 IEEE Wireless Communications and Networking Conference.

Adaptive filtering based on extended kernel recursive maximum correntropy

José Carlos Príncipe, Tianshuang Qiu, Shengyang Luan, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Downscaling Satellite-Based Soil Moisture in Heterogeneous Regions Using High-Resolution Remote Sensing Products and Information Theory: A Synthetic Study

Jasmeet Judge, Subit Chakrabarti, José Carlos Príncipe, 2015, IEEE Transactions on Geoscience and Remote Sensing.

An efficient, robust, and fast converging principal components extraction algorithm: SIPEX-G

Deniz Erdogmus, José Carlos Príncipe, Oscar Fontenla-Romero, 2002, 2002 11th European Signal Processing Conference.

Clustering of time series using a hierarchical linear dynamical system

José Carlos Príncipe, Goktug T. Cinar, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mixed generative and supervised learning modes in Deep Predictive Coding Networks

Eder Santana, José Carlos Príncipe, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Reduction of Markov Chains Using a Value-of-Information-Based Approach

José Carlos Príncipe, Isaac J. Sledge, J. Príncipe, 2019, Entropy.

A nonlinear extension of the MACE filter

John W. Fisher, José Carlos Príncipe, J. Príncipe, 1995, Neural Networks.

Vector quantization using information theoretic concepts

Deniz Erdogmus, José Carlos Príncipe, Anant Hegde, 2005, Natural Computing.

Spatial-Temporal Clustering of Neural Data Using Linked-Mixtures of Hidden Markov Models

José Carlos Príncipe, Shalom Darmanjian, J. Príncipe, 2009, EURASIP J. Adv. Signal Process..

An adaptive kernel width update method of correntropy for channel estimation

Badong Chen, José Carlos Príncipe, Hua Qu, 2015, 2015 IEEE International Conference on Digital Signal Processing (DSP).

Non-linear dynamic modeling of glucose in type 1 diabetes with kernel adaptive filters

Dimitrios I. Fotiadis, José Carlos Príncipe, Eleni I. Georga, 2016, EMBC.

The Generalized Sleep Spindles Detector: A Generative Model Approach on Single-Channel EEGs

José Carlos Príncipe, Carlos A. Loza, 2019, IWANN.

Exploiting co-adaptation for the design of symbiotic neuroprosthetic assistants

José Carlos Príncipe, Justin C. Sanchez, Babak Mahmoudi, 2009, Neural Networks.

Irregular Tree-Structured Bayesian Network for image segmentation

José Carlos Príncipe, Kittipat Kampa, Duangmanee Putthividhya, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

Self-organizing maps with dynamic learning for signal reconstruction

Jeongho Cho, José Carlos Príncipe, Justin C. Sanchez, 2007, Neural Networks.

Kernel least mean square with adaptive kernel size pdf

Nanning Zheng, Badong Chen, José Carlos Príncipe, 2014, Neurocomputing.

Super-resolution of images based on local correlations

José Carlos Príncipe, Frank M. Candocia, J. Príncipe, 1999, IEEE Trans. Neural Networks.

Short-term prediction of glucose in type 1 diabetes using kernel adaptive filters

Dimitrios I. Fotiadis, José Carlos Príncipe, Eleni I. Georga, 2018, Medical & Biological Engineering & Computing.

Efficient and robust deep learning with Correntropy-induced loss function

Badong Chen, José Carlos Príncipe, Liangjun Chen, 2016, Neural Computing and Applications.

Online learning using a Bayesian surprise metric

José Carlos Príncipe, Erion Hasanbelliu, Kittipat Kampa, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Directed generalized measure of association: A data driven approach towards causal inference

Andreas Keil, José Carlos Príncipe, Mehrnaz Khodam Hazrati, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Adaptive blind deconvolution of linear channels using Renyi's entropy with Parzen window estimation

Deniz Erdogmus, José Carlos Príncipe, Marcelino Lázaro, 2004, IEEE Transactions on Signal Processing.

Understanding Autoencoders with Information Theoretic Concepts

José Carlos Príncipe, Shujian Yu, J. Príncipe, 2018, Neural Networks.

Speaker verification and identification using gamma neural networks

José Carlos Príncipe, Chuan Wang, Dongxin Xu, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

A reconfigurable parallel FPGA accelerator for the adapt-then-combine diffusion LMS algorithm

Nanning Zheng, Yongqiang Ma, Badong Chen, 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).

Theoretical Methods in Machine Learning

Weifeng Liu, Badong Chen, José Carlos Príncipe, 2015, Handbook of Computational Intelligence.

Editorial

José Carlos Príncipe, 2006, IEEE Trans. Biomed. Eng..

Efficient temporal decomposition of local field potentials

Austin J. Brockmeier, José Carlos Príncipe, Justin C. Sanchez, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

A New Nonlinear Similarity Measure for Multichannel Biological Signals

Andrzej Cichocki, José Carlos Príncipe, Jian-Wu Xu, 2007, 2007 International Joint Conference on Neural Networks.

Training MLPs layer-by-layer with the information potential

José Carlos Príncipe, Dongxin Xu, J. Príncipe, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Functional dependence in the human brain: A graph theoretical analysis

Andreas Keil, José Carlos Príncipe, Bilal H. Fadlallah, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Conditional Association

José Carlos Príncipe, Sohan Seth, 2012, Neural Computation.

Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain–Machine Interfaces

José Carlos Príncipe, Qiaosheng Zhang, Yiwen Wang, 2016, IEEE Transactions on Biomedical Engineering.

Maximum correntropy based attention-gated reinforcement learning designed for brain machine interface

José Carlos Príncipe, Fang Wang, Qiaosheng Zhang, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Simple Stopping Criteria for Information Theoretic Feature Selection

José Carlos Príncipe, Shujian Yu, J. Príncipe, 2018, Entropy.

Smoothed least mean p-power error criterion for adaptive filtering

Nanning Zheng, Zongze Wu, Badong Chen, 2015, Digit. Signal Process..

A novel extended kernel recursive least squares algorithm

Badong Chen, José Carlos Príncipe, Pingping Zhu, 2012, Neural Networks.

The Fast Correntropy Mace Filter

José Carlos Príncipe, Kyu-Hwa Jeong, Seungju Han, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

A Markov Chain Framework for the Simple Genetic Algorithm

José Carlos Príncipe, Thomas E. Davis, J. Príncipe, 1993, Evolutionary Computation.

On the Smoothed Minimum Error Entropy Criterion

Badong Chen, José Carlos Príncipe, J. Príncipe, 2012, Entropy.

A low power battery management system for rechargeable wireless implantable electronics

Pengfei Li, José Carlos Príncipe, Rizwan Bashirullah, 2006, 2006 IEEE International Symposium on Circuits and Systems.

Hierarchal Decomposition of Neural Data using Boosted Mixtures of Hidden Markov Chains and its application to a BMI

José Carlos Príncipe, Shalom Darmanjian, Justin C. Sanchez, 2007, 2007 International Joint Conference on Neural Networks.

EDITORIAL

José Carlos Príncipe, 2001, IEEE Trans. Biomed. Eng..

Special issue on echo state networks and liquid state machines

José Carlos Príncipe, Wolfgang Maass, Herbert Jaeger, 2007, Neural Networks.

A low complexity robust detector in impulsive noise

Weifeng Liu, José Carlos Príncipe, Puskal P. Pokharel, 2009, Signal Process..

A variable step-size adaptive algorithm under maximum correntropy criterion

Nanning Zheng, Badong Chen, Ren Wang, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Learning Multiple Levels of Representations with Kernel Machines pdf

Yunmei Chen, José Carlos Príncipe, Shiyu Duan, 2018, ArXiv.

Guest Editorial Special Issue on Information Theoretic Learning

Erkki Oja, Andrzej Cichocki, Deniz Erdogmus, 2004, IEEE Trans. Neural Networks.

Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework

Rishabh Singh, José Carlos Príncipe, J. Príncipe, 2020, UAI.

Parzen particle filters

Deniz Erdogmus, José Carlos Príncipe, Tue Lehn-Schiøler, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Estimation and modeling of EEG amplitude-temporal characteristics using a marked point process approach

José Carlos Príncipe, Carlos A. Loza, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Information theory related learning

Thomas Villmann, Andrzej Cichocki, José Carlos Príncipe, 2011, ESANN.

A Test of Granger Non-causality Based on Nonparametric Conditional Independence

José Carlos Príncipe, Sohan Seth, J. Príncipe, 2010, 2010 20th International Conference on Pattern Recognition.

Strictly Positive-Definite Spike Train Kernels for Point-Process Divergences

José Carlos Príncipe, Sohan Seth, Murali Rao, 2012, Neural Computation.

Gaussianizing Transformations for ICA

Deniz Erdogmus, José Carlos Príncipe, Yadunandana N. Rao, 2004, ICA.

Adaptive blind equalization through quadratic pdf matching

José Carlos Príncipe, Ignacio Santamaría, Luis Vielva, 2002, 2002 11th European Signal Processing Conference.

An interactive learning environment for adaptive systems instruction

José Carlos Príncipe, Neil R. Euliano, Curt Lefebvre, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Maximum margin equalizers trained with the Adatron algorithm

José Carlos Príncipe, Ignacio Santamaría, Rafael González Ayestarán, 2003, Signal Process..

Time Series Segmentation Using a Novel Adaptive Eigendecomposition Algorithm

José Carlos Príncipe, Yadunandana N. Rao, J. Príncipe, 2002, J. VLSI Signal Process..

Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels pdf

Michael Kampffmeyer, Robert Jenssen, José Carlos Príncipe, 2019, ArXiv.

An asymmetric stagewise least square loss function for imbalanced classification

José Carlos Príncipe, Bao-Gang Hu, Guibiao Xu, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Quasi-sliding mode control strategy based on multiple-linear models

Jeongho Cho, Deniz Erdogmus, José Carlos Príncipe, 2007, Neurocomputing.

Independent components analysis for fetal electrocardiogram extraction: a case for the data efficient Mermaid algorithm

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Information cut for clustering using a gradient descent approach

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2007, Pattern Recognit..

A parameter-free kernel design based on cumulative distribution function for correntropy

José Carlos Príncipe, Jongmin Lee, Pingping Zhu, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Modified Kalman filter based method for training state-recurrent multilayer perceptrons

Deniz Erdogmus, José Carlos Príncipe, Justin C. Sanchez, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Generalized feedforward structures: a new class of adaptive filters

José Carlos Príncipe, Bert de Vries, Pedro Guedes de Oliveira, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Florida Wireless Implantable Recording Electrodes (FWIRE) for Brain Machine Interfaces

José Carlos Príncipe, John G. Harris, Justin C. Sanchez, 2007, 2007 IEEE International Symposium on Circuits and Systems.

Cognitive Architectures for Sensory Processing

José Carlos Príncipe, Rakesh Chalasani, J. Príncipe, 2014, Proceedings of the IEEE.

Kernel minimum error entropy algorithm

Nanning Zheng, Badong Chen, Zejian Yuan, 2013, Neurocomputing.

Fast algorithm for adaptive blind equalization using order-α Renyi's entropy

José Carlos Príncipe, Ignacio Santamaría, Luis Vielva, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

JOINT IMAGE SEGMENTATION AND CLASSIFICATION WITH APPLICATION TO CLUTTERED CORAL IMAGES

Bing Ouyang, Ying Ma, José Carlos Príncipe, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Dynamic subgrouping in RTRL provides a faster O(N/sup 2/) algorithm

José Carlos Príncipe, Neil R. Euliano, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Modulation Selection from a Battery Power Efficiency Perspective: A Case Study of PPM and OOK

Liuqing Yang, Ananthram Swami, José Carlos Príncipe, 2009, 2009 IEEE Wireless Communications and Networking Conference.

Locally linear embedding based on correntropy measure for visualization and classification

Germán Castellanos-Domínguez, José Carlos Príncipe, Genaro Daza-Santacoloma, 2012, Neurocomputing.

Information Theoretic Learning

Deniz Erdogmus, José Carlos Príncipe, Deniz Erdoğmuş, 2005, Encyclopedia of Artificial Intelligence.

Top-down Gamma Saliency - Learning to Search for Objects in Complex Scenes

José Carlos Príncipe, Ryan Burt, J. Príncipe, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Mean square convergence analysis for kernel least mean square algorithm

Badong Chen, José Carlos Príncipe, Pingping Zhu, 2012, Signal Process..

The wellposedness analysis of the kernel adaline

Weifeng Liu, José Carlos Príncipe, J. Príncipe, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

A reproducing kernel Hilbert space formulation of the principle of relevant information

José Carlos Príncipe, Luis Gonzalo Sánchez Giraldo, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

Time-Based Compression and Classification of Heartbeats

José Carlos Príncipe, Alexander Singh-Alvarado, Choudur Lakshminarayan, 2012, IEEE Transactions on Biomedical Engineering.

Development of Symbiotic Brain-Machine Interfaces Using a Neurophysiology Cyberworkstation

Renato J. O. Figueiredo, José Carlos Príncipe, Justin C. Sanchez, 2009, HCI.

Evaluating dependence in spike train metric spaces

Austin J. Brockmeier, José Carlos Príncipe, Sohan Seth, 2011, The 2011 International Joint Conference on Neural Networks.

Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex

Austin J. Brockmeier, José Carlos Príncipe, Joseph T. Francis, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

The Cauchy-Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels

Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, 2006, J. Frankl. Inst..

Statistical dependence measure for feature selection in microarray datasets

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Carlos Príncipe, 2011, ESANN.

Augmented Space Linear Model

Nanning Zheng, Badong Chen, José Carlos Príncipe, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Underdetermined blind source separation in a time-varying environment

Deniz Erdogmus, José Carlos Príncipe, Ignacio Santamaría, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models

Rishabh Singh, José Carlos Príncipe, 2021, Neural Computation.

Speeding Up Reinforcement Learning by Exploiting Causality in Reward Sequences

José Carlos Príncipe, Hongming Li, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Biologically-Inspired Pulse Signal Processing for Intelligence at the Edge

José Carlos Príncipe, Kan Li, J. Príncipe, 2021, Frontiers in Artificial Intelligence.

Training a Bank of Wiener Models with a Novel Quadratic Mutual Information Cost Function

José Carlos Príncipe, Bo Hu, J. Príncipe, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Interpretable fault detection using projections of mutual information matrix

Chenglin Wen, José Carlos Príncipe, Shujian Yu, 2021, J. Frankl. Inst..

Unsupervised foveal vision neural architecture with top-down attention

Andreas Keil, José Carlos Príncipe, Nina N. Thigpen, 2021, Neural Networks.

Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities

José Carlos Príncipe, Luis Gonzalo Sánchez Giraldo, Shujian Yu, 2021, IJCAI.

A Distributed Processing Architecture for Real-Time Biological Data Analysis

José Carlos Príncipe, Jose C. Principe, António Nunes da Cruz, 2019, Cutting Edge Technologies and Microcomputer Applications for Developing Countries.

Generalized eigendecomposition with an on-line local algorithm

José Carlos Príncipe, Dongxin Xu, Hsiao-Chun Wu, 1998, IEEE Signal Processing Letters.

Blinking Artifact Removal in Cognitive EEG Data Using ICA

José Carlos Príncipe, J. Príncipe, Ruijiang Li, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.