Te-Won Lee

Publication Activity (10 Years)

Years Active: 1996-2010
Publications (10 Years): 0

Publications

Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski
Speech Enhancement Using Gaussian Scale Mixture Models. IEEE Trans. Speech Audio Process. 18 (6) (2010)
Jiucang Hao, Intae Lee, Te-Won Lee, Terrence J. Sejnowski
Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior. Neural Comput. 22 (6) (2010)
Jiucang Hao, Hagai Attias, Srikantan S. Nagarajan, Te-Won Lee, Terrence J. Sejnowski
Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation. IEEE Trans. Speech Audio Process. 17 (1) (2009)
Intae Lee, Jiucang Hao, Te-Won Lee
Adaptive independent vector analysis for the separation of convoluted mixtures using EM algorithm. ICASSP (2008)
Jong-Hwan Lee, Te-Won Lee, Ferenc A. Jolesz, Seung-Schik Yoo
Independent vector analysis (IVA) for group fMRI processing of subcortical area. Int. J. Imaging Syst. Technol. 18 (1) (2008)
Jong-Hwan Lee, Te-Won Lee, Ferenc A. Jolesz, Seung-Schik Yoo
Independent vector analysis (IVA): Multivariate approach for fMRI group study. NeuroImage 40 (1) (2008)
Gil-Jin Jang, Intae Lee, Te-Won Lee
Independent Vector Analysis using Non-Spherical Joint Densities for the Separation of Speech Signals. ICASSP (2) (2007)
Intae Lee, Te-Won Lee
Nonparametric Independent Component Analysis for Circular Complex Variables. ICASSP (2) (2007)
Duangmanee Putthividhya, Hagai Attias, Srikantan S. Nagarajan, Te-Won Lee
Probabilistic Graphical Model for Auto-Annotation, Content-Based Retrieval, and Classification of TV Clips Containing Audio, Video, and Text. ICASSP (2) (2007)
Intae Lee, Te-Won Lee
On Modelling the Frequency Components of Speech with Norm-Invariant Joint Densities. ISCAS (2007)
Taesu Kim, Hagai Thomas Attias, Soo-Young Lee, Te-Won Lee
Blind Source Separation Exploiting Higher-Order Frequency Dependencies. IEEE Trans. Speech Audio Process. 15 (1) (2007)
Jong-Hwan Lee, Te-Won Lee, Ferenc A. Jolesz, Seung-Schik Yoo
Multivariate Analysis of fMRI Group Data Using Independent Vector Analysis. ICA (2007)
Intae Lee, Taesu Kim, Te-Won Lee
Fast fixed-point independent vector analysis algorithms for convolutive blind source separation. Signal Process. 87 (8) (2007)
Intae Lee, Te-Won Lee
On the Assumption of Spherical Symmetry and Sparseness for the Frequency-Domain Speech Model. IEEE Trans. Speech Audio Process. 15 (5) (2007)
Duangmanee Putthividhya, Te-Won Lee
Motion Patterns: High-Level Representation of Natural Video Sequences. CVPR (2) (2006)
Torbjørn Eltoft, Taesu Kim, Te-Won Lee
On the multivariate Laplace distribution. IEEE Signal Process. Lett. 13 (5) (2006)
Hyun-Jin Park, Te-Won Lee
Capturing nonlinear dependencies in natural images using ICA and mixture of Laplacian distribution. Neurocomputing 69 (13-15) (2006)
Taesu Kim, Hagai Attias, Soo-Young Lee, Te-Won Lee
Frequency Domain Blind Source Separation Exploiting Higher-Order Dependencies. ICASSP (5) (2006)
Taesu Kim, Torbjørn Eltoft, Te-Won Lee
Independent Vector Analysis: An Extension of ICA to Multivariate Components. ICA (2006)
Intae Lee, Taesu Kim, Te-Won Lee
Complex FastIVA: A Robust Maximum Likelihood Approach of MICA for Convolutive BSS. ICA (2006)
Torbjørn Eltoft, Taesu Kim, Te-Won Lee
Multivariate Scale Mixture of Gaussians Modeling. ICA (2006)
Kaisheng Yao, Kuldip K. Paliwal, Te-Won Lee
Generative factor analyzed HMM for automatic speech recognition. Speech Commun. 45 (4) (2005)
Suman K. Mitra, Te-Won Lee, Michael H. Goldbaum
A Bayesian network based sequential inference for diagnosis of diseases from retinal images. Pattern Recognit. Lett. 26 (4) (2005)
Taesu Kim, Hagai Attias, Soo-Young Lee, Te-Won Lee
Robust time delay estimation in noisy reverberant environments with a probabilistic graphical model. ICASSP (5) (2005)
Sooyong Choi, Te-Won Lee, Daesik Hong
Adaptive error-constrained method for LMS algorithms and applications. Signal Process. 85 (10) (2005)
Hyun-Jin Park, Te-Won Lee
Unsupervised learning of nonlinear dependencies in natural images. Int. J. Imaging Syst. Technol. 15 (1) (2005)
Oh-Wook Kwon, Te-Won Lee
ICA-based feature extraction for phoneme recognition. INTERSPEECH (2004)
Hyun-Jin Park, Te-Won Lee
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution. NIPS (2004)
Erik M. Visser, Kwokleung Chan, Stanley Kim, Te-Won Lee
A comparison of simultaneous 3-channel blind source separation to selective separation on channel pairs using 2-channel BSS. INTERSPEECH (2004)
Hyun-Jin Park, Te-Won Lee
A Hierarchical ICA Method for Unsupervised Learning of Nonlinear Dependencies in Natural Images. ICA (2004)
Oh-Wook Kwon, Te-Won Lee
Phoneme recognition using ICA-based feature extraction and transformation. Signal Process. 84 (6) (2004)
Hoon-Young Cho, Kaisheng Yao, Te-Won Lee
Emotion verification for emotion detection and unknown emotion rejection. INTERSPEECH (2004)
Kaisheng Yao, Te-Won Lee
Time-Varying Noise Estimation for Speech Enhancement and Recognition Using Sequential Monte Carlo Method. EURASIP J. Adv. Signal Process. 2004 (15) (2004)
Sooyong Choi, Te-Won Lee
A negentropy minimization approach to adaptive equalization for digital communication systems. IEEE Trans. Neural Networks 15 (4) (2004)
Te-Won Lee, Kaisheng Yao
Speech enhancement by perceptual filter with sequential noise parameter estimation. ICASSP (1) (2004)
Erik M. Visser, Te-Won Lee
Blind source separation in mobile environments using a priori knowledge. ICASSP (3) (2004)
Oh-Wook Kwon, Kwokleung Chan, Jiucang Hao, Te-Won Lee
Emotion recognition by speech signals. INTERSPEECH (2003)
Oh-Wook Kwon, Kwokleung Chan, Te-Won Lee
Speech feature analysis using variational Bayesian PCA. IEEE Signal Process. Lett. 10 (5) (2003)
Eizaburo Doi, Toshio Inui, Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes. Neural Comput. 15 (2) (2003)
Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
Variational Bayesian Learning of ICA with Missing Data. Neural Comput. 15 (8) (2003)
Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski
Dictionary Learning Algorithms for Sparse Representation. Neural Comput. 15 (2) (2003)
Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh
Single-channel signal separation using time-domain basis functions. IEEE Signal Process. Lett. 10 (6) (2003)
Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh
A subspace approach to single channel signal separation using maximum likelihood weighting filters. ICASSP (5) (2003)
Erik M. Visser, Te-Won Lee
Speech enhancement using blind source separation and two-channel energy based speaker detection. ICASSP (1) (2003)
Kaisheng Yao, Kuldip K. Paliwal, Te-Won Lee
Speech recognition with a generative factor analyzed hidden Markov model. INTERSPEECH (2003)
Erik M. Visser, Manabu Otsuka, Te-Won Lee
A spatio-temporal speech enhancement scheme for robust speech recognition in noisy environments. Speech Commun. 41 (2-3) (2003)
Oh-Wook Kwon, Te-Won Lee
Optimizing speech/non-speech classifier design using AdaBoost. ICASSP (1) (2003)
Te-Won Lee, Jean-François Cardoso, Erkki Oja, Shun-ichi Amari
Introduction to Special Issue on Independent Components Analysis. J. Mach. Learn. Res. 4 (2003)
Kaisheng Yao, Erik M. Visser, Oh-Wook Kwon, Te-Won Lee
A speech processing front-end with eigenspace normalization for robust speech recognition in noisy automobile environments. INTERSPEECH (2003)
Sooyong Choi, Te-Won Lee
A new adaptive linear multiuser detector based on approximate negentropy minimization. GLOBECOM (2003)
Gil-Jin Jang, Te-Won Lee
A Maximum Likelihood Approach to Single-channel Source Separation. J. Mach. Learn. Res. 4 (2003)
Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components. J. Mach. Learn. Res. 3 (2002)
Oh-Wook Kwon, Te-Won Lee, Kwokleung Chan
Application of variational Bayesian PCA for speech feature extraction. ICASSP (2002)
Erik M. Visser, Manabu Otsuka, Te-Won Lee
A spatio-temporal speech enhancement scheme for robust speech recognition. INTERSPEECH (2002)
Kwokleung Chan, Te-Won Lee, Pamela A. Sample, Michael H. Goldbaum, Robert N. Weinreb, Terrence J. Sejnowski
Comparison of machine learning and traditional classifiers in glaucoma diagnosis. IEEE Trans. Biomed. Eng. 49 (9) (2002)
Shun-ichi Amari, Aapo Hyvärinen, Soo-Young Lee, Te-Won Lee, V. David Sánchez A.
Blind signal separation and independent component analysis. Neurocomputing 49 (1-4) (2002)
Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
Handling Missing Data with Variational Bayesian Learning of ICA. NIPS (2002)
Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh
Learning statistically efficient features for speaker recognition. Neurocomputing 49 (1-4) (2002)
Te-Won Lee, Michael S. Lewicki
Unsupervised image classification, segmentation, and enhancement using ICA mixture models. IEEE Trans. Image Process. 11 (3) (2002)
Jong-Hwan Lee, Te-Won Lee, Ho-Young Jung, Soo-Young Lee
On the Efficient Speech Feature Extraction Based on Independent Component Analysis. Neural Process. Lett. 15 (3) (2002)
Gil-Jin Jang, Te-Won Lee
A Probabilistic Approach to Single Channel Blind Signal Separation. NIPS (2002)
Te-Won Lee
Advances in independent component analysis [Book Review]. IEEE Trans. Neural Networks 12 (6) (2001)
Te-Won Lee, Gil-Jin Jang
The statistical structures of male and female speech signals. ICASSP (2001)
Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh
Learning statistically efficient features for speaker recognition. ICASSP (2001)
Tzyy-Ping Jung, Scott Makeig, Martin J. McKeown, Anthony J. Bell, Te-Won Lee, Terrence J. Sejnowski
Imaging brain dynamics using independent component analysis. Proc. IEEE 89 (7) (2001)
Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski
ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation. IEEE Trans. Pattern Anal. Mach. Intell. 22 (10) (2000)
Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
The Spectral Independent Components of Natural Scenes. Biologically Motivated Computer Vision (2000)
Jong-Hwan Lee, Ho-Young Jung, Te-Won Lee, Soo-Young Lee
Speech feature extraction using independent component analysis. ICASSP (2000)
Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes. NIPS (2000)
Te-Won Lee, Mark A. Girolami, Terrence J. Sejnowski
Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources. Neural Comput. 11 (2) (1999)
Te-Won Lee, Michael S. Lewicki, Mark A. Girolami, Terrence J. Sejnowski
Blind source separation of more sources than mixtures using overcomplete representations. IEEE Signal Process. Lett. 6 (4) (1999)
Te-Won Lee
Independent component analysis: theory and applications [Book Review]. IEEE Trans. Neural Networks 10 (4) (1999)
Te-Won Lee, Andreas Ziehe, Reinhold Orglmeister, Terrence J. Sejnowski
Combining time-delayed decorrelation and ICA: towards solving the cocktail party problem. ICASSP (1998)
Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski
Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. NIPS (1998)
Bert-Uwe Koehler, Te-Won Lee, Reinhold Orglmeister
Improving the Performance of Infomax Using Statistical Signal Processing Techniques. ICANN (1997)
Te-Won Lee, Reinhold Orglmeister
A contextual blind separation of delayed and convolved sources. ICASSP (1997)
Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott Makeig, Martin J. McKeown, Vicente Iragui, Terrence J. Sejnowski
Extended ICA Removes Artifacts from Electroencephalographic Recordings. NIPS (1997)
Te-Won Lee, Anthony J. Bell, Reinhold Orglmeister
Blind source separation of real world signals. ICNN (1997)
Te-Won Lee, Anthony J. Bell, Russell H. Lambert
Blind Separation of Delayed and Convolved Sources. NIPS (1996)