Juha Karhunen

Juha Karhunen, Antti Honkela, Harri Valpola, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Android Malware Detection: Building Useful Representations

Juha Karhunen, Emil Eirola, Luiza Sayfullina, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Chapter 2 Independent component analysis and blind source separation

Tapani Ristaniemi, Juha Karhunen, Alexander Ilin, 2004 .

Neural Independent Component Analysis - Approaches and Applications

Erkki Oja, Juha Karhunen, Aapo Hyvärinen, 1998 .

Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map

Jorma Laaksonen, Juha Karhunen, Satoru Ishikawa, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Macadamia: Master's Programme in Machine Learning and Data Mining

Erkki Oja, Juha Karhunen, Antti Honkela, 2008 .

A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets

Juha Karhunen, Jarkko Ylipaavalniemi, Tele Hao, 2012, LVA/ICA.

A Character-Word Compositional Neural Language Model for Finnish pdf

Juha Karhunen, Tapani Raiko, Hannes Heikinheimo, 2016, ArXiv.

Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches

Juha Karhunen, Antti Honkela, Harri Valpola, 2003, Neural Processing Letters.

Delay Estimation in CDMA Communications Using A FastICA Algorithm

Tapani Ristaniemi, Juha Karhunen, Jyrki Joutsensalo, 2000 .

Detecting aging of process sensors with noise signal measurement

Juha Karhunen, Miki Sirola, Topi Toosi, 2017, 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

Jammer suppression in DS-CDMA arrays using independent component analysis

Erkki Oja, Tapani Ristaniemi, Juha Karhunen, 2006, IEEE Transactions on Wireless Communications.

Missing Values in Hierarchical Nonlinear Factor Analysis

Juha Karhunen, Tapani Raiko, Harri Valpola, 2003 .

A class of neural networks for independent component analysis

Erkki Oja, Juha Karhunen, Ricardo Vigário, 1997, IEEE Trans. Neural Networks.

An Experimental Comparison of Neural ICA Algorithms

Erkki Oja, Juha Karhunen, Xavier Giannakopoulos, 1998 .

Bayesian Robust PCA of Incomplete Data

Juha Karhunen, Alexander Ilin, Jaakko Luttinen, 2009, Neural Processing Letters.

Final Technical Report on BSS Models and Methods for Non-Independent BSS

Juha Karhunen, Harri Valpola, F. Meinecke, 2003 .

Semi-Blind Interference Suppression on Coherent Multipath Environments

Tapani Ristaniemi, Juha Karhunen, Karthikesh Raju, 2004 .

A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians

Juha Karhunen, Antti Honkela, Tapani Raiko, 2009, 2009 International Joint Conference on Neural Networks.

Neural approaches to independent component analysis and source separation

Juha Karhunen, J. Karhunen, 1996, ESANN.

WITHDRAWN: Erratum to “Extending ICA for finding jointly dependent components from two related data sets” by J. Karhunen and T. Ukkonen [Neurocomputing 70 (2007) 2969–2979]

Juha Karhunen, Tomas Ukkonen, J. Karhunen, 2007 .

A Maximum Likelihood Approach to Nonlinear Blind Source Separation

Juha Karhunen, Petteri Pajunen, J. Karhunen, 1997, ICANN.

Learning of robust principal component subspace

Juha Karhunen, Jyrki Joutsensalo, J. Karhunen, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

Least-Squares Methods for Blind Source Separation Based on Nonlinear PCA

Juha Karhunen, Petteri Pajunen, J. Karhunen, 1997, Int. J. Neural Syst..

Principal Component Analysis for Sparse High-Dimensional Data

Juha Karhunen, Tapani Raiko, Alexander Ilin, 2007, ICONIP.

Nonlinear PCA: Algorithms and Applications

Erkki Oja, Juha Karhunen, E. Oja, 1993 .

Principal Component Analysis for Large Scale Problems with Lots of Missing Values

Juha Karhunen, Tapani Raiko, Alexander Ilin, 2007, ECML.

Sinusoidal frequency estimation by signal subspace approximation

Juha Karhunen, Jyrki Joutsensalo, J. Karhunen, 1992, IEEE Trans. Signal Process..

Independent Component Analysis

Erkki Oja, Juha Karhunen, Aapo Hyvärinen, 2001, IEEE Transactions on Neural Networks.

Top Research in Learning and Adaptive Information Processing Systems

Juha Karhunen, 1999 .

Computer Vision – ACCV 2018

Juha Karhunen, Tapani Raiko, Tinghuai Wang, 2018, Lecture Notes in Computer Science.

A hierarchic maximum likelihood method for delay estimation in CDMA

Juha Karhunen, J. Lilleberg, J. Joutsensalo, 1996, Proceedings of Vehicular Technology Conference - VTC.

Hierarchic Method for CDMA Synchronization

Juha Karhunen, J. Joutsensalo, J. Lilleberg, 1996 .

Finding dependent and independent components from two related data sets

Juha Karhunen, Tele Hao, J. Karhunen, 2011, The 2011 International Joint Conference on Neural Networks.

Nonlinear source separation using ensemble learning and MLP networks

Juha Karhunen, Antti Honkela, H. Lappalainen, 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).

Variable selection for regression problems using Gaussian mixture models to estimate mutual information

Juha Karhunen, Amaury Lendasse, Emil Eirola, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A pragmatic android malware detection procedure

Juha Karhunen, Emil Eirola, Luiza Sayfullina, 2017, Comput. Secur..

On Neural Blind Separation with Noise Suppression and Redundancy Reduction

Juha Karhunen, Andrzej Cichocki, Wlodzimierz Kasprzak, 1997, Int. J. Neural Syst..

Bayesian Modeling of Variance Sources

Juha Karhunen, Markus Harva, Harri Valpola, 2003 .

Nonlinear Blind Source Separation Using Ensemble Learning

Juha Karhunen, H. Lappalainen, Xavier Giannakopoulos, 1999 .

Tracking of sinusoidal frequencies by neural network learning algorithms

Juha Karhunen, J. Joutsensalo, J. Karhunen, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Blind Separation of Sources Using Nonlinear PCA Type Learning Algorithms

Erkki Oja, Juha Karhunen, Ricardo Vigário, 1995 .

Advances in Training Restricted Boltzmann Machines

Juha Karhunen, Tapani Raiko, Kyunghyun Cho, 2012 .

Hierarchical models of variance sources

Juha Karhunen, Markus Harva, Harri Valpola, 2004, Signal Process..

Principal Component Analysis and Whitening

Erkki Oja, Juha Karhunen, Aapo Hyvärinen, 2002 .

Convolutive Mixtures and Blind Deconvolution

Erkki Oja, Juha Karhunen, Aapo Hyvärinen, 2002 .

Gated Boltzmann Machine in Texture Modeling

Juha Karhunen, Tapani Raiko, Alexander Ilin, 2012, ICANN.

Neural networks for blind separation with unknown number of sources

Juha Karhunen, Andrzej Cichocki, Ricardo Vigário, 1999, Neurocomputing.

A generalized canonical correlation analysis based method for blind source separation from related data sets

Juha Karhunen, Jarkko Ylipaavalniemi, Tele Hao, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation pdf

Juha Karhunen, Tapani Raiko, Tinghuai Wang, 2016, ACCV.

Principal component neural networks — Theory and applications

Juha Karhunen, J. Karhunen, 1998, Pattern Analysis and Applications.

ICA by Minimization of Mutual Information

Juha Karhunen, Aapo Hyvärinen, Erkki Oja, 2002 .

CDMA delay estimation using fast ICA algorithm

Tapani Ristaniemi, Juha Karhunen, Jyrki Joutsensalo, 2000, 11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. PIMRC 2000. Proceedings (Cat. No.00TH8525).

SWITCHING OF ICA AND RAKE DS-CDMA ARRAYS: PRE AND POST

Tapani Ristaniemi, Juha Karhunen, K. Raju, 2002 .

Blind Separation Methods for CDMA Communications

Tapani Ristaniemi, Juha Karhunen, Jyrki Joutsensalo, 2000 .

Time Series Prediction with Variational Bayesian Nonlinear State-Space Models

Juha Karhunen, Antti Honkela, Matti Tornio, 2007 .

Generalizations of principal component analysis, optimization problems, and neural networks

Juha Karhunen, Jyrki Joutsensalo, J. Karhunen, 1995, Neural Networks.

Arbitrary Category Classification of Websites Based on Image Content

Juha Karhunen, Amaury Lendasse, Kaj-Mikael Björk, 2015, IEEE Computational Intelligence Magazine.

Proc. of The IEEE 15th Int. Conf. on Machine Learning and Applications (ICMLA 2016)

Juha Karhunen, Emil Eirola, Luiza Sayfullina, 2016 .

The nonlinear PCA criterion in blind source separation: Relations with other approaches

Erkki Oja, Juha Karhunen, Petteri Pajunen, 1998, Neurocomputing.

Inter-Cell Interference Cancellation in CDMA Array Systems by Independent Component Analysis

Erkki Oja, Tapani Ristaniemi, Juha Karhunen, 2003 .

Signal Separation by Nonlinear Hebbian Learning

Erkki Oja, Juha Karhunen, E. Oja, 1995 .

Blind separation from ε-contaminated mixtures

Erkki Oja, Juha Karhunen, Visa Koivunen, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines

Juha Karhunen, Tapani Raiko, Alexander Ilin, 2013, ICANN.

An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models

Juha Karhunen, Harri Valpola, J. Karhunen, 2002, Neural Computation.

Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series pdf

Juha Karhunen, Tapani Raiko, Mikko Honkala, 2015, ArXiv.

Bidirectional Recurrent Neural Networks as Generative Models

Juha Karhunen, Tapani Raiko, Mikko Honkala, 2015, NIPS.

Blind separation of convolved mixtures for CDMA systems

Tapani Ristaniemi, Juha Karhunen, Jyrki Joutsensalo, 2000, 2000 10th European Signal Processing Conference.

Adaptive algorithms for estimating eigenvectors of correlation type matrices

Juha Karhunen, J. Karhunen, 1984, ICASSP.

Principal and Independent Components in Neural Networks - Recent Developments

Erkki Oja, Juha Karhunen, Liu-Yue Wang, 1995 .

Nonlinear PCA type approaches for source separation and independent component analysis

Juha Karhunen, Liuyue Wang, Ricardo Vigário, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Locally linear independent component analysis

Juha Karhunen, Simona Malaroiu, J. Karhunen, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

ICA with Overcomplete Bases

Erkki Oja, Juha Karhunen, Aapo Hyvärinen, 2002 .

How to Pretrain Deep Boltzmann Machines in Two Stages

Juha Karhunen, Tapani Raiko, Alexander Ilin, 2015 .

Air quality forecasting using neural networks

Juha Karhunen, Chen Zhao, Mark van Heeswijk, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Robust MUSIC based on direct signal subspace estimation

Juha Karhunen, J. Joutsensalo, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes

Juha Karhunen, Antti Honkela, Tapani Raiko, 2010, J. Mach. Learn. Res..

An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation

Erkki Oja, Juha Karhunen, Xavier Giannakopoulos, 1999, Int. J. Neural Syst..

Finding dependent and independent components from related data sets: A generalized canonical correlation analysis based method

Juha Karhunen, Jarkko Ylipaavalniemi, Tele Hao, 2013, Neurocomputing.

ICA by Maximization of Nongaussianity

Erkki Oja, Juha Karhunen, Aapo Hyvärinen, 2002 .

Jammer mitigation in DS-CDMA array system using independent component analysis

Tapani Ristaniemi, Juha Karhunen, Karthikesh Raju, 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

Suppression of bit-pulsed jammer signals in DS-CDMA array system using independent component analysis

Tapani Ristaniemi, Juha Karhunen, Karthikesh Raju, 2002, 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353).

Applications of neural blind separation to signal and image processing

Erkki Oja, Juha Karhunen, Aapo Hyvärinen, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Jammer cancellation in DS-CDMA arrays: pre and post switching of ICA and RAKE

Erkki Oja, Tapani Ristaniemi, Juha Karhunen, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Stochastic discriminant analysis for linear supervised dimension reduction

Juha Karhunen, Francesco Corona, Mika Juuti, 2018, Neurocomputing.

Extending Neural ICA and Blind Source Separation for Nonlinear Data Models

Juha Karhunen, Aapo Hyvärinen, Petteri Pajunen, 1998 .

14th IEEE international conference on Trust, Security, and Privacy in Computing and Communications (TrustCom), Helsinki, Finland, August 20-22, 2015

Juha Karhunen, Amaury Lendasse, Yoan Miche, 2015 .