Nathan Intrator

发表

Image enhancement for pattern recognition

Quyen Q. Huynh, Nicola Neretti, Nathan Intrator, 1998, Defense, Security, and Sensing.

Better limited systematicity in hand than structural descriptions in the bush: A reply to Hummel

Nathan Intrator, Shimon Edelman, 2003 .

Acoustic Indices of Cardiac Functionality

Nathan Intrator, Jonathan Lessick, Noam Gavriely, 2008, BIOSIGNALS.

Feature Extraction using an Unsupervised Neural Network

Nathan Intrator, 1991 .

Hidden loop recovery for handwriting recognition

Ehud Rivlin, David S. Doermann, Nathan Intrator, 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

Supervised and unsupervised feature extraction from a cochlear model for speech recognition

Nathan Intrator, G. Tajchman, N. Intrator, 1991, Neural Networks for Signal Processing Proceedings of the 1991 IEEE Workshop.

Time-Frequency Computational Model for Echo-Delay Resolution in Sonar Images of the Big Brown Bat, Eptesicus Fuscus

Nathan Intrator, Leon N. Cooper, 2005 .

Energy-Efficient Time-of-Flight Estimation in the Presence of Outliers: A Machine Learning Approach

Nathan Intrator, Leon N. Cooper, Alexander Apartsin, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

MAP fusion method for superresolution of images with locally varying pixel quality

Nicola Neretti, Nathan Intrator, Kio Kim, 2008 .

Large Ensemble Averaging

Nathan Intrator, David Horn, Ury Naftaly, 2012, Neural Networks: Tricks of the Trade.

Face detection by direct convexity estimation

Nathan Intrator, Yehezkel Yeshurun, Ariel Tankus, 1997, Pattern Recognit. Lett..

On Different Model Selection Criteria In A Forward And Backward Regression Hybrid Network

Nathan Intrator, Shimon Cohen, N. Intrator, 2004, Int. J. Pattern Recognit. Artif. Intell..

Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks

Nathan Intrator, N. Intrator, 1993, Neural Computation.

Classification of seismic signals by integrating ensembles of neural networks

Nathan Intrator, Yair Shimshoni, N. Intrator, 1998, IEEE Trans. Signal Process..

Feature extraction from acoustic backscattered signals using wavelet dictionaries

Quyen Q. Huynh, Nathan Intrator, Gerald J. Dobeck, 1997, Defense, Security, and Sensing.

Phonetic classification of timit segments preprocessed with lyon's cochlear model using a supervised/unsupervised hybrid neural network

Nathan Intrator, Gary Tajchman, 1992, ICSLP.

Delay accuracy in bat sonar is related to the reciprocal of normalized echo bandwidth, or Q.

Nicola Neretti, Nathan Intrator, James A Simmons, 2004, Proceedings of the National Academy of Sciences of the United States of America.

A Hybrid Projection Based and Radial Basis Function Architecture

Nathan Intrator, Shimon Cohen, N. Intrator, 2000, Multiple Classifier Systems.

On the Use of Projection Pursuit Constraints for Training Neural Networks

Nathan Intrator, N. Intrator, 1992, NIPS.

Face recognition using a hybrid supervised/unsupervised neural network

Nathan Intrator, Yehezkel Yeshurun, Daniel Reisfeld, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Improving classification of neural networks by reducing lens aperture

Zeev Zalevsky, Nathan Intrator, David Mendlovic, 2002, Optics + Photonics.

How to Make a Low-Dimensional Representation Suitable for Diverse Tasks

Nathan Intrator, Shimon Edelman, S. Edelman, 1996 .

Searchlight Based Feature Extraction

Nathan Intrator, Talma Hendler, Yehezkel Yeshurun, 2011, MLINI.

Bootstrapping with Noise: An Effective Regularization Technique

Nathan Intrator, Yuval Raviv, N. Intrator, 1996, Connect. Sci..

3D Object Recognition Using Unsupervised Feature Extraction

Heinrich H. Bülthoff, Nathan Intrator, Shimon Edelman, 1991, NIPS.

Volitional limbic neuromodulation exerts a beneficial clinical effect on Fibromyalgia

Marc Cavazza, Fred Charles, Nathan Intrator, 2019, NeuroImage.

Video Enhancement for Underwater Exploration Using Forward Looking Sonar

Nicola Neretti, Nathan Intrator, Kio Kim, 2006, ACIVS.

An integrated approach to the study of object features in visual recognition

Heinrich H. Bülthoff, Nathan Intrator, Shimon Edelman, 1995 .

Discovery of multiple level heart-sound morphological variability resulting from changes in physiological states

Nathan Intrator, Noam Gavriely, Svetlana Kofman, 2012, Biomed. Signal Process. Control..

Image registration and mosaicing of noisy acoustic camera images

Nicola Neretti, Nathan Intrator, Kio Kim, 2004, Proceedings of the 2004 11th IEEE International Conference on Electronics, Circuits and Systems, 2004. ICECS 2004..

MAP fusion method for superresolution of images with locally varying pixel quality

Nicola Neretti, Nathan Intrator, Kio Kim, 2008, Int. J. Imaging Syst. Technol..

Exploratory Feature Extraction in Speech Signals

Nathan Intrator, 1990, NIPS.

Time-of-Flight Estimation in the Presence of Outliers Part I—Single Echo Processing

Nathan Intrator, Leon N. Cooper, Alexander Apartsin, 2014, IEEE Transactions on Geoscience and Remote Sensing.

An EEG Finger-Print of fMRI deep regional activation

Nathan Intrator, Talma Hendler, Ilana Podlipsky, 2014, NeuroImage.

A Hybrid Projection Based and Radial Basis Function Architecture

Nathan Intrator, Shimon Cohen, 2000, Multiple Classifier Systems.

Using unsupervised incremental learning to cope with gradual concept drift

Nathan Intrator, Galit Yovel, David Hadas, 2011, Connect. Sci..

Classification of underwater mammals using feature extraction based on time-frequency analysis and BCM theory

Nathan Intrator, Leon N. Cooper, Harel Z. Shouval, 1998, IEEE Trans. Signal Process..

Neural dynamics necessary and sufficient for transition into pre-sleep induced by EEG NeuroFeedback

Nathan Intrator, Talma Hendler, Ilana Podlipsky, 2014, NeuroImage.

Evaluation of an auditory model for echo delay accuracy in wideband biosonar.

Nicola Neretti, Nathan Intrator, James A Simmons, 2003, The Journal of the Acoustical Society of America.

An integration of online and pseudo-online information for cursive word recognition

Ehud Rivlin, Nathan Intrator, Predrag Neskovic, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Productive, Systematic Framework for the Representation of Visual Structure

Nathan Intrator, Shimon Edelman, S. Edelman, 2000, NIPS.

Using Iterative Ridge Regression to Explore Associations Between Conditioned Variables

Nathan Intrator, Nimrod Bar-Yaakov, Zehava Grossman, 2012, J. Comput. Biol..

Forward and Backward Selection in Regression Hybrid Network

Nathan Intrator, Shimon Cohen, N. Intrator, 2002, Multiple Classifier Systems.

Unsupervised Learning of Visual Structure

Nathan Intrator, Shimon Edelman, Judah S. Jacobson, 2002, Biologically Motivated Computer Vision.

Making a Low-dimensional Representation Suitable for Diverse Tasks

Nathan Intrator, N. Intrator, 1996, Connect. Sci..

Towards structural systematicity in distributed, statically bound visual representations

Nathan Intrator, Shimon Edelman, S. Edelman, 2003, Cogn. Sci..

Multiple ping sonar accuracy improvement using robust motion estimation and ping fusion.

Nicola Neretti, Nathan Intrator, Lian Yu, 2006, The Journal of the Acoustical Society of America.

Time-of-Flight Estimation in the Presence of Outliers. Part II—Multiple Echo Processing

Nathan Intrator, Leon N. Cooper, Alexander Apartsin, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Boosting Regression Estimators

Nathan Intrator, Ran Avnimelech, N. Intrator, 1999, Neural Computation.

Large Ensemble Averaging

Nathan Intrator, David Horn, Ury Naftaly, 1996, Neural Networks.

Inference of Brain Mental States from Spatio-temporal Analysis of EEG Single Trials

Nathan Intrator, Talma Hendler, Andrey Zhdanov, 2011, BIOSIGNALS.

A Real-Time Kinect Signature-Based Patient Home Monitoring System

Nathan Intrator, Meir Plotnik, Gaddi Blumrosen, 2016, Sensors.

(coarse Coding of Shape Fragments) (retinotopy) Representation of Structure

Nathan Intrator, Shimon Edelman, S. Edelman, 2000 .

Inferring Functional Brain States Using Temporal Evolution of Regularized Classifiers

Nathan Intrator, Talma Hendler, Leslie G. Ungerleider, 2007, Comput. Intell. Neurosci..

Mosaicing of acoustic camera images

Nicola Neretti, Nathan Intrator, Kio Kim, 2005 .

Unsupervised splitting rules for neural tree classifiers

Nathan Intrator, M. P. Perrone, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Functional Cliques in the Amygdala and Related Brain Networks Driven by Fear Assessment Acquired During Movie Viewing

Nathan Intrator, Talma Hendler, Sivan Kinreich, 2011, Brain Connect..

Time of Flight Estimation in the Presence of Outliers: A Biosonar-Inspired Machine Learning Approach

Nathan Intrator, Leon N. Cooper, 2013 .

A SPECIAL SKELETONIZATION ALGORITHM FOR CURSIVE WORDS

Ehud Rivlin, Nathan Intrator, T. Steinherz, 2004 .

Categorized EEG Neurofeedback Performance Unveils Simultaneous fMRI Deep Brain Activation

Nathan Intrator, Talma Hendler, Ilana Podlipsky, 2011, MLINI.

Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditions

Nathan Intrator, Leon N. Cooper, L. Cooper, 1992, Neural Networks.

Boosted Mixture of Experts: An Ensemble Learning Scheme

Nathan Intrator, Ran Avnimelech, N. Intrator, 1999, Neural Computation.

Biosonar-inspired Source Localization in Low SNR

Nathan Intrator, Leon N. Cooper, Sasha Apartsin, 2011, BIOSIGNALS.

Robust prediction in many-parameter models

Nathan Intrator, 2000 .

Blurred face recognition via a hybrid network architecture

Nathan Intrator, Inna Stainvas, N. Intrator, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Three-Dimensional Object Recognition Using an Unsupervised Neural Network: Understanding the Distinguishing Features

Nathan Intrator, S Edelman, Bülthoff Hh Gold Ji, 1991 .

Complex cells and Object Recognition

Nathan Intrator, Shimon Edelman, Tomaso Poggio, 1997 .

Cluster analysis and classification of heart sounds

Nathan Intrator, Noam Gavriely, Guy Amit, 2009, Biomed. Signal Process. Control..

Three-Dimensional Object Recognition Using an Unsupervised BCM Network: The Usefulness of Distinguishing Features

Nathan Intrator, Joshua I. Gold, J. Gold, 1993, Neural Computation.

Ensemble of hybrid networks with strong regularization

Nathan Intrator, Shimon Cohen, N. Intrator, 2003, The European Symposium on Artificial Neural Networks.

Making a Low-Dimensional Representation Suitable for Diverse Tasks

Nathan Intrator, Shimon Edelman, 1998, Learning to Learn.

Information theory and visual plasticity

Nathan Intrator, Leon N. Cooper, L. Cooper, 1998 .

Offline cursive script word recognition – a survey

Ehud Rivlin, Nathan Intrator, Tal Steinherz, 1999, International Journal on Document Analysis and Recognition.

Unsupervised Learning of Visual Structure

Nathan Intrator, Shimon Edelman, Judah S. Jacobson, 2002, Biologically Motivated Computer Vision.

Skew detection via principal components analysis

Ehud Rivlin, Nathan Intrator, Tal Steinherz, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

Monitoring Cardiac Stress Using Features Extracted From S1 Heart Sounds

Nathan Intrator, Jonathan Herzig, Amitai Bickel, 2015, IEEE Transactions on Biomedical Engineering.

BCM theory of visual cortical plasticity

Nathan Intrator, Leon N. Cooper, 1998 .

Multimodality exploration by an unsupervised projection pursuit neural network

Nathan Intrator, Yocheved Dotan, N. Intrator, 1998, IEEE Trans. Neural Networks.

Face Detection and Camouflage Breaking by Direct Convexity Estimation

Nathan Intrator, Yehezkel Yeshurun, Ariel Tankus, 1999 .

Global Optimization of RBF Networks

Nathan Intrator, Shimon Cohen, N. Intrator, 2000 .

Automatic model selection in a hybrid perceptron/radial network

Nathan Intrator, Shimon Cohen, N. Intrator, 2001, Inf. Fusion.

Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data

Nathan Intrator, Omer Berkman, 2007, MCS.

Receptive Field Formation in Natural Scene Environments: Comparison of Single-Cell Learning Rules

Nathan Intrator, Leon N. Cooper, Brian S. Blais, 1997, Neural Computation.

Offline Loop Investigation for Handwriting Analysis

Ehud Rivlin, David S. Doermann, Nathan Intrator, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Time-frequency model for echo-delay resolution in wideband biosonar.

Nicola Neretti, Nathan Intrator, James A Simmons, 2003, The Journal of the Acoustical Society of America.

An adaptive approach to wavelet filters design

Nicola Neretti, Nathan Intrator, N. Intrator, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Robust Interpretation of Neural-Network Models

Nathan Intrator, Orna Intrator, N. Intrator, 1997 .

A Robust and Efficient Spatio-Temporal Feature Selection for Interpretation of EEG Single Trials

Nathan Intrator, Talma Hendler, Andrey Zhdanov, 2011, BIOSTEC.

Optimal spontaneous activity in neural network modeling

Nathan Intrator, Gastone C. Castellani, Leon N. Cooper, 2002, Neurocomputing.

Averaged and decorrelated neural networks as a time-series predictor

Nathan Intrator, David Horn, Iris Ginzburg, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Automatic model selection in a hybrid perceptron/radial network

Nathan Intrator, Shimon Cohen, N. Intrator, 2002, Inf. Fusion.

Effect of Binocular Cortical Misalignment on Ocular Dominance and Orientation Selectivity

Nathan Intrator, Leon N. Cooper, Harel Z. Shouval, 1996, Neural Computation.

A Study of Ensemble of Hybrid Networks with Strong Regularization

Nathan Intrator, Shimon Cohen, N. Intrator, 2003, Multiple Classifier Systems.

Better limited systematicity in hand than structural descriptions in the bush: A reply to Hummel

Nathan Intrator, Shimon Edelman, 2003, Cogn. Sci..

Learning as Extraction of Low-Dimensional Representations

Nathan Intrator, Shimon Edelman, S. Edelman, 1997 .

Feature extraction and fusion of wideband backscattered signals

Quyen Q. Huynh, Nathan Intrator, Gerald J. Dobeck, 1999, Defense, Security, and Sensing.

Semi-coherent time of arrival estimation using regression.

Nathan Intrator, Alexander Apartsin, Leon N Cooper, 2012, The Journal of the Acoustical Society of America.

Visual Processing of Object Structure

Nathan Intrator, Shimon Edelman, S. Edelman, 2002 .

Face detection by direct convexity estimation

Nathan Intrator, Yehezkel Yeshurun, Ariel Tankus, 1997, Pattern Recognit. Lett..

Three-Dimensional Object Recognition Using an Unsupervised Neural Network: Understanding the Disting

Heinrich H. Bülthoff, Nathan Intrator, Shimon Edelman, 1991, NIPS 1991.

Machine Learning Framework for Inferring Cognitive State from Magnetoencephalographic (MEG) Signals

Nathan Intrator, Talma Hendler, Leslie G. Ungerleider, 2008 .

Classification of seismic waveforms by integrating ensembles of neural networks

Nathan Intrator, Y. Shimshoni, 1996, Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop.

A Neural Network for Feature Extraction

Nathan Intrator, N. Intrator, 1989, NIPS.

Feature Extraction Using an Unsupervised Neural Network

Nathan Intrator, N. Intrator, 1992, Neural Computation.

Towards a real time kinect signature based human activity assessment at home

Nathan Intrator, Meir Plotnik, Gaddi Blumrosen, 2015, 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

Optimal ensemble averaging of neural networks

Nathan Intrator, Ury Naftaly, David Horn, 1997 .

Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI

Nathan Intrator, Ofer Pasternak, Yaniv Assaf, 2005, NIPS.

Adaptive pulse optimization for improved sonar range accuracy

Nicola Neretti, Nathan Intrator, Leon N. Cooper, 2004, IEEE Signal Processing Letters.

Ensemble-based Feature Selection Criteria

Nathan Intrator, Terry Windeatt, Matthew Prior, 2007, MLDM Posters.

Probabilistic principles in unsupervised learning of visual structure: human data and a model

Nathan Intrator, Shimon Edelman, Hwajin Yang, 2001, NIPS.

Novel Single-Channel EEG Features Correlate with Working Memory Load

Dominique Lamy, Nathan Intrator, Neta B. Maimon, 2021, 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech).

The dark side of the alpha rhythm: fMRI evidence for induced alpha modulation during complete darkness

Dean Cvetkovic, Nathan Intrator, Talma Hendler, 2013, The European journal of neuroscience.

Enhanced functional synchronization of medial and lateral PFC underlies internally-guided action planning

Nathan Intrator, Talma Hendler, Itzhak Fried, 2012, Front. Hum. Neurosci..

Target detection in side-scan sonar images : expert fusion reduces false alarms

Nicola Neretti, Nathan Intrator, Quyen Huynh, 2002 .

Respiratory modulation of heart sound morphology.

Nathan Intrator, Noam Gavriely, Guy Amit, 2009, American journal of physiology. Heart and circulatory physiology.

Interpreting neural-network results: a simulation study

Nathan Intrator, Orna Intrator, N. Intrator, 2001 .

Identification of a T cell gene expression clock obtained by exploiting a MZ twin design

Nathan Intrator, Gastone Castellani, Daniel Remondini, 2017, Scientific Reports.

Neuronal Goals: Efficient Coding and Coincidence Detection

Nathan Intrator, N. Intrator, 1996 .

Robust prediction in many parameter models: Speci c control of variance and bias

Nathan Intrator, N. Intrator, 2000 .

Variational multiple-tensor fitting of fiber-ambiguous diffusion-weighted magnetic resonance imaging voxels.

Nathan Intrator, Ofer Pasternak, Nir Sochen, 2008, Magnetic resonance imaging.

Machine learning fMRI classifier delineates subgroups of schizophrenia patients

Nathan Intrator, Talma Hendler, Shahar Jamshy, 2014, Schizophrenia Research.

Striking of underwater prey by a reef heron,Egretta gularis schistacea

Gadi Katzir, Nathan Intrator, N. Intrator, 1987, Journal of Comparative Physiology A.

Theory of Cortical Plasticity: (With Software Package “PLASTICITY”)

Nathan Intrator, Nathan Intrator, Leon N. Cooper, 2004 .

Solutions of the BCM learning rule in a network of lateral interacting nonlinear neurons

Nathan Intrator, Leon N. Cooper, Gastone Castellani, 1999 .

Robust modeling based on optimized EEG bands for functional brain state inference

Nathan Intrator, Talma Hendler, Ilana Podlipsky, 2012, Journal of Neuroscience Methods.

Feature extraction and fusion of wide-band backscattered signals

Nathan Intrator, N. Intrator, 1999 .

Limbic Activity Modulation Guided by Functional Magnetic Resonance Imaging–Inspired Electroencephalography Improves Implicit Emotion Regulation

Nathan Intrator, Talma Hendler, Avihay Cohen, 2016, Biological Psychiatry.