Te-Won Lee

	2010
53		Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski: Speech Enhancement Using Gaussian Scale Mixture Models. IEEE Transactions on Audio, Speech & Language Processing 18(6): 1127-1136 (2010)
52		Jiucang Hao, Intae Lee, Te-Won Lee, Terrence J. Sejnowski: Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior. Neural Computation 22(6): 1646-1673 (2010)
	2009
51		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 Transactions on Audio, Speech & Language Processing 17(1): 24-37 (2009)
	2008
50		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
49		Jong-Hwan Lee, Te-Won Lee, Ferenc A. Jolesz, Seung-Schik Yoo: Multivariate Analysis of fMRI Group Data Using Independent Vector Analysis. ICA 2007: 633-640
48		Intae Lee, Te-Won Lee: On Modelling the Frequency Components of Speech with Norm-Invariant Joint Densities. ISCAS 2007: 2982-2985
47		Taesu Kim, Hagai Thomas Attias, Soo-Young Lee, Te-Won Lee: Blind Source Separation Exploiting Higher-Order Frequency Dependencies. IEEE Transactions on Audio, Speech & Language Processing 15(1): 70-79 (2007)
46		Intae Lee, Te-Won Lee: On the Assumption of Spherical Symmetry and Sparseness for the Frequency-Domain Speech Model. IEEE Transactions on Audio, Speech & Language Processing 15(5): 1521-1528 (2007)
45		Intae Lee, Taesu Kim, Te-Won Lee: Fast fixed-point independent vector analysis algorithms for convolutive blind source separation. Signal Processing 87(8): 1859-1871 (2007)
	2006
44		Duangmanee Putthividhya, Te-Won Lee: Motion Patterns: High-Level Representation of Natural Video Sequences. CVPR (2) 2006: 1908-1915
43		Taesu Kim, Torbjørn Eltoft, Te-Won Lee: Independent Vector Analysis: An Extension of ICA to Multivariate Components. ICA 2006: 165-172
42		Intae Lee, Taesu Kim, Te-Won Lee: Complex FastIVA: A Robust Maximum Likelihood Approach of MICA for Convolutive BSS. ICA 2006: 625-632
41		Torbjørn Eltoft, Taesu Kim, Te-Won Lee: Multivariate Scale Mixture of Gaussians Modeling. ICA 2006: 799-806
40		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)
	2005
39		Suman K. Mitra, Te-Won Lee, Michael H. Goldbaum: A Bayesian network based sequential inference for diagnosis of diseases from retinal images. Pattern Recognition Letters 26(4): 459-470 (2005)
38		Sooyong Choi, Te-Won Lee, Daesik Hong: Adaptive error-constrained method for LMS algorithms and applications. Signal Processing 85(10): 1875-1897 (2005)
37		Kaisheng Yao, Kuldip K. Paliwal, Te-Won Lee: Generative factor analyzed HMM for automatic speech recognition. Speech Communication 45(4): 435-454 (2005)
	2004
36		Hyun-Jin Park, Te-Won Lee: A Hierarchical ICA Method for Unsupervised Learning of Nonlinear Dependencies in Natural Images. ICA 2004: 1253-1261
35		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
34		Hoon-Young Cho, Kaisheng Yao, Te-Won Lee: Emotion verification for emotion detection and unknown emotion rejection. INTERSPEECH 2004
33		Oh-Wook Kwon, Te-Won Lee: ICA-based feature extraction for phoneme recognition. INTERSPEECH 2004
32		Hyun-Jin Park, Te-Won Lee: Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution. NIPS 2004
31		Kaisheng Yao, Te-Won Lee: Time-Varying Noise Estimation for Speech Enhancement and Recognition Using Sequential Monte Carlo Method. EURASIP J. Adv. Sig. Proc. 2004(15): 2366-2384 (2004)
30		Sooyong Choi, Te-Won Lee: A negentropy minimization approach to adaptive equalization for digital communication systems. IEEE Transactions on Neural Networks 15(4): 928-936 (2004)
29		Oh-Wook Kwon, Te-Won Lee: Phoneme recognition using ICA-based feature extraction and transformation. Signal Processing 84(6): 1005-1019 (2004)
	2003
28		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
27		Oh-Wook Kwon, Kwokleung Chan, Jiucang Hao, Te-Won Lee: Emotion recognition by speech signals. INTERSPEECH 2003
26		Kaisheng Yao, Kuldip K. Paliwal, Te-Won Lee: Speech recognition with a generative factor analyzed hidden Markov model. INTERSPEECH 2003
25		Te-Won Lee, Jean-François Cardoso, Erkki Oja, Shun-ichi Amari: Introduction to Special Issue on Independent Components Analysis. Journal of Machine Learning Research 4: 1175-1176 (2003)
24		Gil-Jin Jang, Te-Won Lee: A Maximum Likelihood Approach to Single-channel Source Separation. Journal of Machine Learning Research 4: 1365-1392 (2003)
23		Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski: Dictionary Learning Algorithms for Sparse Representation. Neural Computation 15(2): 349-396 (2003)
22		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 Computation 15(2): 397-417 (2003)
21		Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski: Variational Bayesian Learning of ICA with Missing Data. Neural Computation 15(8): 1991-2011 (2003)
20		Erik M. Visser, Manabu Otsuka, Te-Won Lee: A spatio-temporal speech enhancement scheme for robust speech recognition in noisy environments. Speech Communication 41(2-3): 393-407 (2003)
	2002
19		Oh-Wook Kwon, Te-Won Lee, Kwokleung Chan: Application of variational Bayesian PCA for speech feature extraction. ICASSP 2002: 825-828
18		Erik M. Visser, Manabu Otsuka, Te-Won Lee: A spatio-temporal speech enhancement scheme for robust speech recognition. INTERSPEECH 2002
17		Gil-Jin Jang, Te-Won Lee: A Probabilistic Approach to Single Channel Blind Signal Separation. NIPS 2002: 1173-1180
16		Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski: Handling Missing Data with Variational Bayesian Learning of ICA. NIPS 2002: 881-888
15		Te-Won Lee, Michael S. Lewicki: Unsupervised image classification, segmentation, and enhancement using ICA mixture models. IEEE Transactions on Image Processing 11(3): 270-279 (2002)
14		Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski: Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components. Journal of Machine Learning Research 3: 99-114 (2002)
13		Jong-Hwan Lee, Te-Won Lee, Ho-Young Jung, Soo-Young Lee: On the Efficient Speech Feature Extraction Based on Independent Component Analysis. Neural Processing Letters 15(3): 235-245 (2002)
12		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)
11		Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh: Learning statistically efficient features for speaker recognition. Neurocomputing 49(1-4): 329-348 (2002)
	2001
10		Te-Won Lee: Advances in independent component analysis [Book Review]. IEEE Transactions on Neural Networks 12(6): 1547 (2001)
	2000
9		Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski: The Spectral Independent Components of Natural Scenes. Biologically Motivated Computer Vision 2000: 527-534
8		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
7		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)
	1999
6		Te-Won Lee: Independent component analysis: theory and applications [Book Review]. IEEE Transactions on Neural Networks 10(4): 982-982 (1999)
5		Te-Won Lee, Mark Girolami, Terrence J. Sejnowski: Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources. Neural Computation 11(2): 417-441 (1999)
	1998
4		Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski: Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. NIPS 1998: 508-514
	1997
3		Bert-Uwe Koehler, Te-Won Lee, Reinhold Orglmeister: Improving the Performance of Infomax Using Statistical Signal Processing Techniques. ICANN 1997: 535-540
2		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
	1996
1		Te-Won Lee, Anthony J. Bell, Russell H. Lambert: Blind Separation of Delayed and Convolved Sources. NIPS 1996: 758-764

Coauthor Index

1	V. David Sánchez A.	[12]
2	Shun-ichi Amari	[12] [25]
3	Hagai Attias (Hagai Thomas Attias)	[47] [51]
4	Anthony J. Bell	[1]
5	Jean-François Cardoso	[25]
6	Kwokleung Chan	[14] [16] [19] [21] [27] [35]
7	Hoon-Young Cho	[34]
8	Sooyong Choi	[30] [38]
9	Eizaburo Doi	[22]
10	Torbjørn Eltoft	[41] [43]
11	Kjersti Engan	[23]
12	Mark A. Girolami (Mark Girolami)	[5]
13	Michael H. Goldbaum	[39]
14	Jiucang Hao	[27] [50] [51] [52] [53]
15	Daesik Hong	[38]
16	Colin Humphries	[2]
17	Aapo Hyvärinen	[12]
18	Toshio Inui	[22]
19	Vicente Iragui	[2]
20	Gil-Jin Jang	[11] [17] [24]
21	Ferenc A. Jolesz	[49]
22	Ho-Young Jung	[13]
23	Tzyy-Ping Jung	[2]
24	Stanley Kim	[35]
25	Taesu Kim	[41] [42] [43] [45] [47]
26	Bert-Uwe Koehler	[3]
27	Kenneth Kreutz-Delgado	[23]
28	Oh-Wook Kwon	[19] [27] [28] [29] [33]
29	Russell H. Lambert	[1]
30	Intae Lee	[42] [45] [46] [48] [50] [52]
31	Jong-Hwan Lee	[13] [49]
32	Soo-Young Lee	[12] [13] [47]
33	Michael S. Lewicki	[4] [7] [15]
34	Scott Makeig	[2]
35	Martin J. McKeown	[2]
36	Suman K. Mitra	[39]
37	Joseph F. Murray	[23]
38	Srikantan S. Nagarajan	[51]
39	Yung-Hwan Oh	[11]
40	Erkki Oja	[25]
41	Reinhold Orglmeister	[3]
42	Manabu Otsuka	[18] [20]
43	Kuldip K. Paliwal	[26] [37]
44	Hyun-Jin Park	[32] [36] [40]
45	Duangmanee Putthividhya	[44]
46	Bhaskar D. Rao	[23]
47	Terrence J. Sejnowski	[2] [4] [5] [7] [8] [9] [14] [16] [21] [22] [23] [51] [52] [53]
48	Erik M. Visser	[18] [20] [28] [35]
49	Thomas Wachtler	[8] [9] [22]
50	Kaisheng Yao	[26] [28] [31] [34] [37]
51	Seung-Schik Yoo	[49]

Colors in the list of coauthors

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