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Te-Won Lee
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2010 – 2019
- 2010
- [j37]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): 1646-1673 (2010) - [j36]Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski:
Speech Enhancement Using Gaussian Scale Mixture Models. IEEE Trans. Speech Audio Process. 18(6): 1127-1136 (2010)
2000 – 2009
- 2009
- [j35]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): 24-37 (2009) - 2008
- [j34]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): 29-41 (2008) - [j33]Jong-Hwan Lee
Independent vector analysis (IVA): Multivariate approach for fMRI group study. NeuroImage 40(1): 86-109 (2008) - [c42]Intae Lee, Jiucang Hao, Te-Won Lee:
Adaptive independent vector analysis for the separation of convoluted mixtures using EM algorithm. ICASSP 2008: 145-148 - 2007
- [j32]Intae Lee, Taesu Kim, Te-Won Lee:
Fast fixed-point independent vector analysis algorithms for convolutive blind source separation. Signal Process. 87(8): 1859-1871 (2007) - [j31]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): 70-79 (2007) - [j30]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): 1521-1528 (2007) - [c41]Jong-Hwan Lee
Multivariate Analysis of fMRI Group Data Using Independent Vector Analysis. ICA 2007: 633-640 - [c40]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: 629-632 - [c39]Intae Lee, Te-Won Lee:
Nonparametric Independent Component Analysis for Circular Complex Variables. ICASSP (2) 2007: 665-668 - [c38]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: 789-792 - [c37]Intae Lee, Te-Won Lee:
On Modelling the Frequency Components of Speech with Norm-Invariant Joint Densities. ISCAS 2007: 2982-2985 - [p3]Intae Lee, Taesu Kim, Te-Won Lee:
Independent Vector Analysis for Convolutive Blind Speech Separation. Blind Speech Separation 2007: 169-192 - [p2]Gil-Jin Jang, Te-Won Lee:
Monaural Source Separation. Blind Speech Separation 2007: 339-364 - [e1]Shoji Makino, Hiroshi Sawada, Te-Won Lee:
Blind Speech Separation. Signals and Communication Technology, Springer 2007, ISBN 978-1-4020-6478-4 [contents] - 2006
- [j29]Hyun-Jin Park, Te-Won Lee:
Capturing nonlinear dependencies in natural images using ICA and mixture of Laplacian distribution. Neurocomputing 69(13-15): 1513-1528 (2006) - [j28]Torbjørn Eltoft, Taesu Kim, Te-Won Lee:
On the multivariate Laplace distribution. IEEE Signal Process. Lett. 13(5): 300-303 (2006) - [c36]Duangmanee Putthividhya, Te-Won Lee:
Motion Patterns: High-Level Representation of Natural Video Sequences. CVPR (2) 2006: 1908-1915 - [c35]Taesu Kim, Torbjørn Eltoft, Te-Won Lee:
Independent Vector Analysis: An Extension of ICA to Multivariate Components. ICA 2006: 165-172 - [c34]Intae Lee, Taesu Kim, Te-Won Lee:
Complex FastIVA: A Robust Maximum Likelihood Approach of MICA for Convolutive BSS. ICA 2006: 625-632 - [c33]Torbjørn Eltoft, Taesu Kim, Te-Won Lee:
Multivariate Scale Mixture of Gaussians Modeling. ICA 2006: 799-806 - [c32]Taesu Kim, Hagai Attias, Soo-Young Lee, Te-Won Lee:
Frequency Domain Blind Source Separation Exploiting Higher-Order Dependencies. ICASSP (5) 2006: 677-680 - 2005
- [j27]Hyun-Jin Park, Te-Won Lee:
Unsupervised learning of nonlinear dependencies in natural images. Int. J. Imaging Syst. Technol. 15(1): 34-47 (2005) - [j26]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): 459-470 (2005) - [j25]Sooyong Choi, Te-Won Lee, Daesik Hong:
Adaptive error-constrained method for LMS algorithms and applications. Signal Process. 85(10): 1875-1897 (2005) - [j24]Kaisheng Yao, Kuldip K. Paliwal
Generative factor analyzed HMM for automatic speech recognition. Speech Commun. 45(4): 435-454 (2005) - [c31]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: 525-528 - [p1]Te-Won Lee:
Blind Source Separation Using Graphical Models. Speech Separation by Humans and Machines 2005: 55-64 - 2004
- [j23]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): 2366-2384 (2004) - [j22]Oh-Wook Kwon, Te-Won Lee:
Phoneme recognition using ICA-based feature extraction and transformation. Signal Process. 84(6): 1005-1019 (2004) - [j21]Sooyong Choi, Te-Won Lee:
A negentropy minimization approach to adaptive equalization for digital communication systems. IEEE Trans. Neural Networks 15(4): 928-936 (2004) - [c30]Hyun-Jin Park, Te-Won Lee:
A Hierarchical ICA Method for Unsupervised Learning of Nonlinear Dependencies in Natural Images. ICA 2004: 1253-1261 - [c29]Te-Won Lee, Kaisheng Yao:
Speech enhancement by perceptual filter with sequential noise parameter estimation. ICASSP (1) 2004: 693-696 - [c28]Erik M. Visser, Te-Won Lee:
Blind source separation in mobile environments using a priori knowledge. ICASSP (3) 2004: 893-896 - [c27]Oh-Wook Kwon, Te-Won Lee:
ICA-based feature extraction for phoneme recognition. INTERSPEECH 2004: 917-920 - [c26]Hoon-Young Cho, Kaisheng Yao, Te-Won Lee:
Emotion verification for emotion detection and unknown emotion rejection. INTERSPEECH 2004: 1345-1348 - [c25]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: 2869-2872 - [c24]Hyun-Jin Park, Te-Won Lee:
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution. NIPS 2004: 1041-1048 - 2003
- [j20]Te-Won Lee, Jean-François Cardoso, Erkki Oja, Shun-ichi Amari:
Introduction to Special Issue on Independent Components Analysis. J. Mach. Learn. Res. 4: 1175-1176 (2003) - [j19]Gil-Jin Jang, Te-Won Lee:
A Maximum Likelihood Approach to Single-channel Source Separation. J. Mach. Learn. Res. 4: 1365-1392 (2003) - [j18]Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan
Dictionary Learning Algorithms for Sparse Representation. Neural Comput. 15(2): 349-396 (2003) - [j17]Eizaburo Doi
Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes. Neural Comput. 15(2): 397-417 (2003) - [j16]Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski:
Variational Bayesian Learning of ICA with Missing Data. Neural Comput. 15(8): 1991-2011 (2003) - [j15]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): 393-407 (2003) - [j14]Oh-Wook Kwon, Kwokleung Chan, Te-Won Lee:
Speech feature analysis using variational Bayesian PCA. IEEE Signal Process. Lett. 10(5): 137-140 (2003) - [j13]Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh:
Single-channel signal separation using time-domain basis functions. IEEE Signal Process. Lett. 10(6): 168-171 (2003) - [c23]Sooyong Choi, Te-Won Lee:
A new adaptive linear multiuser detector based on approximate negentropy minimization. GLOBECOM 2003: 3346-3350 - [c22]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: 45-48 - [c21]Oh-Wook Kwon, Te-Won Lee:
Optimizing speech/non-speech classifier design using AdaBoost. ICASSP (1) 2003: 436-439 - [c20]Erik M. Visser, Te-Won Lee:
Speech enhancement using blind source separation and two-channel energy based speaker detection. ICASSP (1) 2003: 884-887 - [c19]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: 9-12 - [c18]Oh-Wook Kwon, Kwokleung Chan, Jiucang Hao, Te-Won Lee:
Emotion recognition by speech signals. INTERSPEECH 2003: 125-128 - [c17]Kaisheng Yao, Kuldip K. Paliwal, Te-Won Lee:
Speech recognition with a generative factor analyzed hidden Markov model. INTERSPEECH 2003: 849-852 - 2002
- [j12]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): 1-5 (2002) - [j11]Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh:
Learning statistically efficient features for speaker recognition. Neurocomputing 49(1-4): 329-348 (2002) - [j10]Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski:
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components. J. Mach. Learn. Res. 3: 99-114 (2002) - [j9]Jong-Hwan Lee
On the Efficient Speech Feature Extraction Based on Independent Component Analysis. Neural Process. Lett. 15(3): 235-245 (2002) - [j8]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): 963-974 (2002) - [j7]Te-Won Lee, Michael S. Lewicki:
Unsupervised image classification, segmentation, and enhancement using ICA mixture models. IEEE Trans. Image Process. 11(3): 270-279 (2002) - [c16]Oh-Wook Kwon, Te-Won Lee, Kwokleung Chan:
Application of variational Bayesian PCA for speech feature extraction. ICASSP 2002: 825-828 - [c15]Erik M. Visser, Manabu Otsuka, Te-Won Lee:
A spatio-temporal speech enhancement scheme for robust speech recognition. INTERSPEECH 2002: 1821-1824 - [c14]Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski:
Handling Missing Data with Variational Bayesian Learning of ICA. NIPS 2002: 881-888 - [c13]Gil-Jin Jang, Te-Won Lee:
A Probabilistic Approach to Single Channel Blind Signal Separation. NIPS 2002: 1173-1180 - 2001
- [j6]Tzyy-Ping Jung
Imaging brain dynamics using independent component analysis. Proc. IEEE 89(7): 1107-1122 (2001) - [j5]Te-Won Lee:
Advances in independent component analysis [Book Review]. IEEE Trans. Neural Networks 12(6): 1547 (2001) - [c12]Te-Won Lee, Gil-Jin Jang:
The statistical structures of male and female speech signals. ICASSP 2001: 105-108 - [c11]Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh:
Learning statistically efficient features for speaker recognition. ICASSP 2001: 437-440 - 2000
- [j4]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): 1078-1089 (2000) - [c10]Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski:
The Spectral Independent Components of Natural Scenes. Biologically Motivated Computer Vision 2000: 527-534 - [c9]Jong-Hwan Lee
Speech feature extraction using independent component analysis. ICASSP 2000: 1631-1634 - [c8]Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski:
Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes. NIPS 2000: 866-872
1990 – 1999
- 1999
- [j3]Te-Won Lee, Mark A. Girolami
Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources. Neural Comput. 11(2): 417-441 (1999) - [j2]Te-Won Lee, Michael S. Lewicki, Mark A. Girolami
Blind source separation of more sources than mixtures using overcomplete representations. IEEE Signal Process. Lett. 6(4): 87-90 (1999) - [j1]Te-Won Lee:
Independent component analysis: theory and applications [Book Review]. IEEE Trans. Neural Networks 10(4): 982-982 (1999) - 1998
- [c7]Te-Won Lee, Andreas Ziehe, Reinhold Orglmeister, Terrence J. Sejnowski:
Combining time-delayed decorrelation and ICA: towards solving the cocktail party problem. ICASSP 1998: 1249-1252 - [c6]Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski:
Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. NIPS 1998: 508-514 - 1997
- [c5]Bert-Uwe Koehler, Te-Won Lee, Reinhold Orglmeister:
Improving the Performance of Infomax Using Statistical Signal Processing Techniques. ICANN 1997: 535-540 - [c4]Te-Won Lee, Reinhold Orglmeister:
A contextual blind separation of delayed and convolved sources. ICASSP 1997: 1199-1202 - [c3]Te-Won Lee, Anthony J. Bell, Reinhold Orglmeister:
Blind source separation of real world signals. ICNN 1997: 2129-2134 - [c2]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: 894-900 - 1996
- [c1]Te-Won Lee, Anthony J. Bell, Russell H. Lambert:
Blind Separation of Delayed and Convolved Sources. NIPS 1996: 758-764
Coauthor Index
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