Blind Separation of Delayed and Convolved Sources. - Te-Won Lee; Anthony J. Bell; Russell H. Lambert (NIPS, 1996)

Improving the Performance of Infomax Using Statistical Signal Processing Techniques. - Bert-Uwe Koehler; Te-Won Lee; Reinhold Orglmeister (ICANN, 1997)

A contextual blind separation of delayed and convolved sources. - Te-Won Lee; Reinhold Orglmeister (ICASSP, 1997)

Blind source separation of real world signals. - Te-Won Lee; Anthony J. Bell; Reinhold Orglmeister (ICNN, 1997)

Extended ICA Removes Artifacts from Electroencephalographic Recordings. - Tzyy-Ping Jung; Colin Humphries; Te-Won Lee; Scott Makeig; Martin J. McKeown; Vicente Iragui; Terrence J. Sejnowski (NIPS, 1997)

Combining time-delayed decorrelation and ICA: towards solving the cocktail party problem. - Te-Won Lee; Andreas Ziehe; Reinhold Orglmeister; Terrence J. Sejnowski (ICASSP, 1998)

Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. - Te-Won Lee; Michael S. Lewicki; Terrence J. Sejnowski (NIPS, 1998)

Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources. - Te-Won Lee; Mark A. Girolami; Terrence J. Sejnowski (Neural Comput., 1999)

Blind source separation of more sources than mixtures using overcomplete representations. - Te-Won Lee; Michael S. Lewicki; Mark A. Girolami; Terrence J. Sejnowski (IEEE Signal Process. Lett., 1999)

Independent component analysis: theory and applications [Book Review]. - Te-Won Lee (IEEE Trans. Neural Networks, 1999)

The Spectral Independent Components of Natural Scenes. - Te-Won Lee; Thomas Wachtler; Terrence J. Sejnowski (Biologically Motivated Computer Vision, 2000)

Speech feature extraction using independent component analysis. - Jong-Hwan Lee; Ho-Young Jung; Te-Won Lee; Soo-Young Lee (ICASSP, 2000)

Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes. - Te-Won Lee; Thomas Wachtler; Terrence J. Sejnowski (NIPS, 2000)

ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation. - Te-Won Lee; Michael S. Lewicki; Terrence J. Sejnowski (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

The statistical structures of male and female speech signals. - Te-Won Lee; Gil-Jin Jang (ICASSP, 2001)

Imaging brain dynamics using independent component analysis. - Tzyy-Ping Jung; Scott Makeig; Martin J. McKeown; Anthony J. Bell; Te-Won Lee; Terrence J. Sejnowski (Proc. IEEE, 2001)

Advances in independent component analysis [Book Review]. - Te-Won Lee (IEEE Trans. Neural Networks, 2001)

Application of variational Bayesian PCA for speech feature extraction. - Oh-Wook Kwon; Te-Won Lee; Kwokleung Chan (ICASSP, 2002)

A spatio-temporal speech enhancement scheme for robust speech recognition. - Erik M. Visser; Manabu Otsuka; Te-Won Lee (INTERSPEECH, 2002)

Handling Missing Data with Variational Bayesian Learning of ICA. - Kwokleung Chan; Te-Won Lee; Terrence J. Sejnowski (NIPS, 2002)

A Probabilistic Approach to Single Channel Blind Signal Separation. - Gil-Jin Jang; Te-Won Lee (NIPS, 2002)

Blind signal separation and independent component analysis. - Shun-ichi Amari; Aapo Hyvärinen; Soo-Young Lee; Te-Won Lee; V. David Sánchez A. (Neurocomputing, 2002)

Learning statistically efficient features for speaker recognition. - Gil-Jin Jang; Te-Won Lee; Yung-Hwan Oh (Neurocomputing, 2002)

Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components. - Kwokleung Chan; Te-Won Lee; Terrence J. Sejnowski (J. Mach. Learn. Res., 2002)

On the Efficient Speech Feature Extraction Based on Independent Component Analysis. - Jong-Hwan Lee; Te-Won Lee; Ho-Young Jung; Soo-Young Lee (Neural Process. Lett., 2002)

Comparison of machine learning and traditional classifiers in glaucoma diagnosis. - Kwokleung Chan; Te-Won Lee; Pamela A. Sample; Michael H. Goldbaum; Robert N. Weinreb; Terrence J. Sejnowski (IEEE Trans. Biomed. Eng., 2002)

Unsupervised image classification, segmentation, and enhancement using ICA mixture models. - Te-Won Lee; Michael S. Lewicki (IEEE Trans. Image Process., 2002)

A new adaptive linear multiuser detector based on approximate negentropy minimization. - Sooyong Choi; Te-Won Lee (GLOBECOM, 2003)

A subspace approach to single channel signal separation using maximum likelihood weighting filters. - Gil-Jin Jang; Te-Won Lee; Yung-Hwan Oh (ICASSP (5), 2003)

Optimizing speech/non-speech classifier design using AdaBoost. - Oh-Wook Kwon; Te-Won Lee (ICASSP (1), 2003)

Speech enhancement using blind source separation and two-channel energy based speaker detection. - Erik M. Visser; Te-Won Lee (ICASSP (1), 2003)

Emotion recognition by speech signals. - Oh-Wook Kwon; Kwokleung Chan; Jiucang Hao; Te-Won Lee (INTERSPEECH, 2003)

Speech recognition with a generative factor analyzed hidden Markov model. - Kaisheng Yao; Kuldip K. Paliwal; Te-Won Lee (INTERSPEECH, 2003)

A speech processing front-end with eigenspace normalization for robust speech recognition in noisy automobile environments. - Kaisheng Yao; Erik M. Visser; Oh-Wook Kwon; Te-Won Lee (INTERSPEECH, 2003)

A Maximum Likelihood Approach to Single-channel Source Separation. - Gil-Jin Jang; Te-Won Lee (J. Mach. Learn. Res., 2003)

Introduction to Special Issue on Independent Components Analysis. - Te-Won Lee; Jean-François Cardoso; Erkki Oja; Shun-ichi Amari (J. Mach. Learn. Res., 2003)

Variational Bayesian Learning of ICA with Missing Data. - Kwokleung Chan; Te-Won Lee; Terrence J. Sejnowski (Neural Comput., 2003)

Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes. - Eizaburo Doi; Toshio Inui; Te-Won Lee; Thomas Wachtler; Terrence J. Sejnowski (Neural Comput., 2003)

Dictionary Learning Algorithms for Sparse Representation. - Kenneth Kreutz-Delgado; Joseph F. Murray; Bhaskar D. Rao; Kjersti Engan; Te-Won Lee; Terrence J. Sejnowski (Neural Comput., 2003)

A spatio-temporal speech enhancement scheme for robust speech recognition in noisy environments. - Erik M. Visser; Manabu Otsuka; Te-Won Lee (Speech Commun., 2003)

Single-channel signal separation using time-domain basis functions. - Gil-Jin Jang; Te-Won Lee; Yung-Hwan Oh (IEEE Signal Process. Lett., 2003)

Speech feature analysis using variational Bayesian PCA. - Oh-Wook Kwon; Kwokleung Chan; Te-Won Lee (IEEE Signal Process. Lett., 2003)

A Hierarchical ICA Method for Unsupervised Learning of Nonlinear Dependencies in Natural Images. - Hyun-Jin Park; Te-Won Lee (ICA, 2004)

Speech enhancement by perceptual filter with sequential noise parameter estimation. - Te-Won Lee; Kaisheng Yao (ICASSP (1), 2004)

Blind source separation in mobile environments using a priori knowledge. - Erik M. Visser; Te-Won Lee (ICASSP (3), 2004)

Emotion verification for emotion detection and unknown emotion rejection. - Hoon-Young Cho; Kaisheng Yao; Te-Won Lee (INTERSPEECH, 2004)

ICA-based feature extraction for phoneme recognition. - Oh-Wook Kwon; Te-Won Lee (INTERSPEECH, 2004)

A comparison of simultaneous 3-channel blind source separation to selective separation on channel pairs using 2-channel BSS. - Erik M. Visser; Kwokleung Chan; Stanley Kim; Te-Won Lee (INTERSPEECH, 2004)

Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution. - Hyun-Jin Park; Te-Won Lee (NIPS, 2004)

Time-Varying Noise Estimation for Speech Enhancement and Recognition Using Sequential Monte Carlo Method. - Kaisheng Yao; Te-Won Lee (EURASIP J. Adv. Signal Process., 2004)

Phoneme recognition using ICA-based feature extraction and transformation. - Oh-Wook Kwon; Te-Won Lee (Signal Process., 2004)

A negentropy minimization approach to adaptive equalization for digital communication systems. - Sooyong Choi; Te-Won Lee (IEEE Trans. Neural Networks, 2004)

Blind Source Separation Using Graphical Models. - Te-Won Lee (Speech Separation by Humans and Machines, 2005)

Robust time delay estimation in noisy reverberant environments with a probabilistic graphical model. - Taesu Kim; Hagai Attias; Soo-Young Lee; Te-Won Lee (ICASSP (5), 2005)

Unsupervised learning of nonlinear dependencies in natural images. - Hyun-Jin Park; Te-Won Lee (Int. J. Imaging Syst. Technol., 2005)

A Bayesian network based sequential inference for diagnosis of diseases from retinal images. - Suman K. Mitra; Te-Won Lee; Michael H. Goldbaum (Pattern Recognit. Lett., 2005)

Adaptive error-constrained method for LMS algorithms and applications. - Sooyong Choi; Te-Won Lee; Daesik Hong (Signal Process., 2005)

Generative factor analyzed HMM for automatic speech recognition. - Kaisheng Yao; Kuldip K. Paliwal; Te-Won Lee (Speech Commun., 2005)

Motion Patterns: High-Level Representation of Natural Video Sequences. - Duangmanee Putthividhya; Te-Won Lee (CVPR (2), 2006)

Multivariate Scale Mixture of Gaussians Modeling. - Torbjørn Eltoft; Taesu Kim; Te-Won Lee (ICA, 2006)

Independent Vector Analysis: An Extension of ICA to Multivariate Components. - Taesu Kim; Torbjørn Eltoft; Te-Won Lee (ICA, 2006)

Complex FastIVA: A Robust Maximum Likelihood Approach of MICA for Convolutive BSS. - Intae Lee; Taesu Kim; Te-Won Lee (ICA, 2006)

Frequency Domain Blind Source Separation Exploiting Higher-Order Dependencies. - Taesu Kim; Hagai Attias; Soo-Young Lee; Te-Won Lee (ICASSP (5), 2006)

Capturing nonlinear dependencies in natural images using ICA and mixture of Laplacian distribution. - Hyun-Jin Park; Te-Won Lee (Neurocomputing, 2006)

On the multivariate Laplace distribution. - Torbjørn Eltoft; Taesu Kim; Te-Won Lee (IEEE Signal Process. Lett., 2006)

Monaural Source Separation. - Gil-Jin Jang; Te-Won Lee (Blind Speech Separation, 2007)

Independent Vector Analysis for Convolutive Blind Speech Separation. - Intae Lee; Taesu Kim; Te-Won Lee (Blind Speech Separation, 2007)

Multivariate Analysis of fMRI Group Data Using Independent Vector Analysis. - Jong-Hwan Lee; Te-Won Lee; Ferenc A. Jolesz; Seung-Schik Yoo (ICA, 2007)

Independent Vector Analysis using Non-Spherical Joint Densities for the Separation of Speech Signals. - Gil-Jin Jang; Intae Lee; Te-Won Lee (ICASSP (2), 2007)

Nonparametric Independent Component Analysis for Circular Complex Variables. - Intae Lee; Te-Won Lee (ICASSP (2), 2007)

Probabilistic Graphical Model for Auto-Annotation, Content-Based Retrieval, and Classification of TV Clips Containing Audio, Video, and Text. - Duangmanee Putthividhya; Hagai Attias; Srikantan S. Nagarajan; Te-Won Lee (ICASSP (2), 2007)

On Modelling the Frequency Components of Speech with Norm-Invariant Joint Densities. - Intae Lee; Te-Won Lee (ISCAS, 2007)

Fast fixed-point independent vector analysis algorithms for convolutive blind source separation. - Intae Lee; Taesu Kim; Te-Won Lee (Signal Process., 2007)

Blind Source Separation Exploiting Higher-Order Frequency Dependencies. - Taesu Kim; Hagai Thomas Attias; Soo-Young Lee; Te-Won Lee (IEEE Trans. Speech Audio Process., 2007)

On the Assumption of Spherical Symmetry and Sparseness for the Frequency-Domain Speech Model. - Intae Lee; Te-Won Lee (IEEE Trans. Speech Audio Process., 2007)

Adaptive independent vector analysis for the separation of convoluted mixtures using EM algorithm. - Intae Lee; Jiucang Hao; Te-Won Lee (ICASSP, 2008)

Independent vector analysis (IVA) for group fMRI processing of subcortical area. - Jong-Hwan Lee; Te-Won Lee; Ferenc A. Jolesz; Seung-Schik Yoo (Int. J. Imaging Syst. Technol., 2008)

Independent vector analysis (IVA): Multivariate approach for fMRI group study. - Jong-Hwan Lee; Te-Won Lee; Ferenc A. Jolesz; Seung-Schik Yoo (NeuroImage, 2008)

Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation. - Jiucang Hao; Hagai Attias; Srikantan S. Nagarajan; Te-Won Lee; Terrence J. Sejnowski (IEEE Trans. Speech Audio Process., 2009)

Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior. - Jiucang Hao; Intae Lee; Te-Won Lee; Terrence J. Sejnowski (Neural Comput., 2010)

Speech Enhancement Using Gaussian Scale Mixture Models. - Jiucang Hao; Te-Won Lee; Terrence J. Sejnowski (IEEE Trans. Speech Audio Process., 2010)