Publications

We offer a few papers for each field. A complete list is also available.

Te-Won Lee, Independent Component Analysis: Theory and Applications.
ISBN: 0 7923 8261 7, table of contents, Preface by Terry Sejnowski
Order through Amazon.com
T-W. Lee, T-P. Jung, Scott Makeig and T.J. Sejnowski (Editors). Proceedsings of the International Conference on Independent Component Analysis and Blind Signal Processing San Diego, Dec 2001.

K.-L. Chan, T.-W. Lee and T.J. Sejnowski "Variational Bayesian Learning of ICA with Missing Data" Neural Computation, MIT Press, Cambridge, Vol 15, Issue 8, 1991 - 2011, August 2003
K.-L. Chan, T-W. Lee and T.S. Sejnowski Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components Journal of Machine Learning Research, Vol 3, 99-114, 2002.
T-W. Lee, M.S. Lewicki and T.J. Sejnowski. ICA Mixture Models for Unsupervised Classification of Non-Gaussian Sources and Automatic Context Switching in Blind Signal Separation, IEEE Transactions on Pattern Recognition and Machine Intelligence 22(10), 1-12, Oct. 2000.
T-W. Lee, M. Girolami, A.J. Bell and T.J. Sejnowski. A Unifying Information-theoretic Framework for Independent Component Analysis, Computers & Mathematics with Applications, Vol 31 (11), 1-21, March 2000.
T-W. Lee, M.S. Lewicki, M. Girolami and T.J. Sejnowski. Blind Source Separation of More Sources Than Mixtures Using Overcomplete Representations, IEEE Signal Processing Letters Vol. 4, No. 4., April 1999.
T-W. Lee, M. Girolami and T.J. Sejnowski. Independent Component Analysis using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources, (Matlab-code)

E. Visser, M. Otsuka, T-W. Lee "A Spatio-Temporal Speech Enhancement Scheme for Robust Speech Recognition in Noisy Environments " Speech Communications, 2003.
T-W. Lee, A. Ziehe, R. Orglmeister and T.J. Sejnowski. Combining time-delayed decorrelation and ICA: towards solving the cocktail party problem , Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, May 1998, Seattle, Vol 2, pp. 1249-1252.
T-W. Lee, A.J. Bell and R. Lambert. Blind separation of delayed and convolved sources, Advances in Neural Information Processing Systems 9 , 1997, MIT Press, Cambridge MA, pp 758-764,
T-W. Lee, A.J. Bell and R. Orglmeister. Blind Source Separation of Real World Signals, Proceedings of IEEE International Conference Neural Networks , June 97, Houston, pp 2129-2135.

E. Visser, M. Otsuka, T-W. Lee "A Spatio-Temporal Speech Enhancement Scheme for Robust Speech Recognition in Noisy Environments " Speech Communications, 2003.
G.-J. Jang and T.-W. Lee A probabilistic approach to single channel source separation Advances in Neural Information Processing Systems 15, MIT Press, Cambridge, 2003
O.-W. Kwon, K.-L. Chan, T.-W. Lee, Speech Feature Analysis Using Variational Bayesian PCA IEEE Signal Processing Letters, Vol , no , 2003..
O-W. Kwon, K.-L. Chan, J. Hao, T-W. Lee, "Emotion Recognition by Speech Signals" Eurospeech 2003, pages 125 – 128, Sept 2003.
K. Yao, K. Paliwal, T-W. Lee, "Speech Recognition with a Generative Factor Analyzed Hidden Markov Model" Eurospeech 2003, pages 849 – 852, Sept 2003.
K. Yao, E. Visser, O-W. Kwon, T-W. Lee, "A Speech Processing Front-End with Eigenspace Normalization for Robust Speech Recognition in Noisy Automobile Environments " Eurospeech 2003, pages 9- 12, Sept 2003.
E. Visser, M. Otsuka, T-W. Lee A Spatio-Temporal Speech Enhancement Scheme For Robust Speech Recognition International Conference on Spoken Language Processing, 1821 - 1824, Denver, September 2002.
G.-J. Jang, T.-W. Lee, Y.-H. Oh, "Learning statistically efficient features for speaker recognition", Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Salt Lake City, Utah, May 2001.

T.-W. Lee and M.S. Lewicki Unsupervised Classification, Segmentation, De-noising of Images using ICA Mixture Models IEEE Transactions on Image Processing, 270 - 279, March 2002.

Jung, T-P, Makeig, s, McKeown, M. J., Bell, A. J., Lee, T-W, Sejnowski, T. J., Imaging brain dynamics using Independent Component Analysis, Proceedings of the IEEE, 89(7):1107-22, 2001.
T.P Jung, S. Makeig, C. Humphries, T-W. Lee, M. McKeown, V. Iragui, T.J. Sejnowski. Removing Electroencephalographic Artifcats by Blind Source Separation , Psychophysiology, 37:167-78, March 2000.
T.P Jung, C. Humphries, T-W. Lee, S. Makeig, M. McKeown, V. Iragui, T.J. Sejnowski. ICA Removes Artifacts from Electroencephalographic Recordings, Advances in Neural Information Processing Systems 10, 1998, MIT Press, Cambridge MA, pp 894-900.
M. McKeown, T.P. Jung, S. Makeig, G. Brown, S. Kindermann, T-W. Lee, T.J. Sejnowski. Spatially Independent Activity Patterns in Functional Magnetic Resonance Imaging Data During the Stroop Color-naming Task, Proceedings of the National Academy of Sciences, 1998, 95:803-10.

Bowd, C., Chan, K., Zangwill, L. M., Goldbaum, M. H., Lee, T.-W., Sejnowski, T. J., and Weinreb, R. N. Comparing neural network and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic disc, Investigative Ophthalmology & Visual Science, 2002, 43: 3444-3454.
K.-L. Chan, T-W. Lee, M.H.Goldbaum, P.A.Sample, R.N. Weinreb and T.J. Sejnowski. Comparison of Machine Learning and Traditional Classifiers in Glaucoma Diagnosis, IEEE Transactions on Biomedical Engineering, Vol. 49, No. 9, September 2002, 963-974
P.A. Sample, M.H. Goldbaum, K.L. Chan, C. Boden, T.W. Lee, C. Vasile, A. Boehm, T.J. Sejnowski, C. Johnson, R.N. Weinreb. Using Machine Classifiers to Identify Change in Standard Visual Fields of Glaucoma Coverts, Investigative Ophthalmology and Visual Science, August 2002, Vol. 43, No. 8, 2660-2665
M.H. Goldbaum, P.A. Sample, J. M. Williams K.L. Chan, T.W. Lee, D. Najafi, T.J. Sejnowski, R.N. Weinreb. Comparing Machine Classifiers for Diagnosing Glaucoma from Standard Automated Perimetry, Investigative Ophthalmology and Visual Science (IOVS) Jan. 2002, 43 (1), 162-169.

E. Doi; T. Inui; T.-W. Lee; T. Wachtler; T. J. Sejnowski "Spatio-chromatic receptive field properties derived from information-theoretic analyses of cone mosaic responses to natural scenes" Neural Computation 15, 397-417, 2003
T.-W. Lee, T. Wachtler and T.J. Sejnowski Color Opponency Constitutes A Sparse Representation For the Chromatic Structure of Natural Scenes Vision Research, 42 (17), 2002, 2095-2103
E. Doi, T.-W. Lee, T. Wachtler, T. Inui & T. J. Sejnowski. Spatial and chromatic filters derived from an information-theoretic analysis of natural scenes. 2002. Society of Neuroscience Abstract. Poster (9 MB).
T. Wachtler, T.-W. Lee and T.J. Sejnowski. The Chromatic Structure of Natural Scenes, Journal of the Optical Society of America, A , Vol 18 (1), 65-77, Jan. 2001.


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