CNL Publication Search: Lee, T.-W.

CNL Publication Index: BibTeX

This database contains all the publications of Terrence J. Sejnowski starting in 1969.

Most of these publications can be downloaded in PDF format. They are made available for individual use only; contact the publisher and the author to receive permission for reproduction in any form.

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Found 17 Articles
Found 1 Edited Book
Found 8 Refereed Conference Proceedings
Found 5 Abstracts
Found 31 Total.

Articles

Wachtler, T. Doi, E. Lee, T.-W. Sejnowski, T. J. Cone Selectivity Derived from the Responses of the Retinal Cone Mosaic to Natural Scenes, Journal of Vision, 7(8):6, 1-14, 2007 PMCID:PMC2905593 (PDF)
Bowd, C. Medeiros, F. A. Zhang, Z. Zangwill, L. M. Hao, J. Lee, T.-W. Sejnowski, T. J. Weinberg, R. J. Goldbaum, M. H. Relevance Vector Machine and Support Vector Machine Classifier Analysis of Scanning Laser Polarimetry Retinal Nerve Fiber Layer Measurements, Investigative Ophthalmology & Visual Science, Vol. 46, No. 4, 2005 (PDF)
Sample, P. A. Boden, C. Zhang, Z. Pascual, J. Lee, T.-W. Zangwill, L. A. Weinreb, R. N. Crowston, J. G. Hoffmann, E. M. Medeiros, F. A. Sejnowski, T. J. Goldbaum, M. Unsupervised Machine Learning with Independent Component Analysis to Identify Areas of Progression in Glaucomatous Visual Fields, Investigative Ophthalmology and Visual Science, 46(10):3684-92, 2005 PMCID:PMC1832121 (PDF)
Zangwill, L. M. Chan, K. Bowd, C. Hao, J. Lee, T.-W. Weinberg, R. J. Sejnowski, T. J. Goldbaum, M. H. Heidelberg Retina Tomograph Measurements of the Optic Disc and Parapapillary Retina for Detecting Glaucoma Analyzed by Machine Learning Classifiers, Investigative Ophthalmology & Visual Science, 45(9) 3144-3151, 2004 (PDF)
Sample, P. A. Chan, K. Boden, C. Lee, T.-W. Blumenthal, E. Z. Weinberg, R. J. Bernd, A. Pascual, J. Hao, J. Sejnowski, T. J. Goldbaum, M. H. Using Unsupervised Learning with Variational Bayesian Mixture of Factor Analysis to Identify Patterns of Glaucomatous Visual Field Defects, Investigative Ophthalmology & Visual Science, 45(8) 2596-2605, 2004 (PDF)
Kreutz-Delgado, K. Murray, J. F. Rao, B. D. Engan, K. Lee, T.-W. Sejnowski, T. J. Dictionary Learning Algorithms for Sparse Representation, Neural Computation, 15(2) 349-396, 2003 (PDF)
Doi, E. Inui, T. Lee, T.-W. Wachtler, T. Sejnowski, T. J. Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes, Neural Computation, 15(2) 397-417, 2003 (PDF)
Chan, K. Lee, T.-W. Sejnowski, T. J. Variational Bayesian Learning of ICA with Missing Data, Neural Computation, 15, 1991–2011, 2003 (PDF)
Sample, P. A. Goldbaum, M. H. Chan, K. Boden, C. Lee, T.-W. Vasile, C. Boehm, A. G. Sejnowski, T. J. Johnson, C. A. Weinberg, R. J. Using Machine Learning Classifiers to Identify Glaucomatous Change Earlier in Standard Visual Fields, Investigative Ophthalmology & Visual Science, 43(8) 2660-2665, 2002 (PDF)
Goldbaum, M. H. Sample, P. A. Chan, K. Williams, J. Lee, T.-W. Blumenthal, E. Z. Girkin, C. A. Zangwill, L. M. Bowd, C. Sejnowski, T. J. Weinberg, R. J. Comparing Machine Learning Classifiers for Diagnosing Glaucoma from Standard Automated Perimetry, Investigative Ophthalmology & Visual Science, Vol. 43, No. 1, 2002 (PDF)
Chan, K. Lee, T.-W. Sejnowski, T. J. Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components, Journal of Machine Learning Research, 3, 99-114, 2002 (PDF)
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), 1107-1122, 2001 (PDF)
Lee, T.-W. Girolami, M. Bell, A. J. Sejnowski, T. J. A Unifying Information-Theoretic Framework for Independent Component Analysis, Computers and Mathematics with Applications, 39, 1-21, 2000 (PDF)
Lee, T.-W. Lewicki, M. S. Sejnowski, T. J. ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(10), 1078-1089, 2000 (PDF)
Jung, T.-P. Makeig, S. Humphries, C. Lee, T.-W. McKeown, M. J. Iragui, V. Sejnowski, T. J. Removing Electroencephalographic Artifacts by Blind Source Separation, Psychophysiology, 37, 163-178, 2000 (PDF)
Lee, T.-W. Girolami, M. Sejnowski, T. J. Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources, Neural Computation, 11(2), 417-441, 1999 (PDF)
McKeown, M. J. Jung, T.-P. Makeig, S. Brown, G. D. Kindermann, S. S. Lee, T.-W. Sejnowski, T. J. Spatially Independent Activity Patterns in Functional MRI Data During the Stroop Color-Naming Task, Proceedings of the National Academy of Sciences of the United States of America, U.S.A. 95, 803-810, 1998 (PDF)

Edited Book

Lee, T.-W. Jung, T.-P. Makeig, S. Sejnowski, T. J. Third International Conference on Independent Component Analysis and Blind Signal Separation, San Diego, CA, 2001

Refereed Conference Proceedings

Lee, T.-W. Lewicki, M. S. Sejnowski, T. J. Unsupervised Classification with Non-Gaussian Mixture Models Using ICA, 2001 (PDF)
Jung, T.-P. Makeig, S. Lee, T.-W. McKeown, M. J. Brown, G. D. Bell, A. J. Sejnowski, T. J. Independent Component Analysis of Biomedical Signals, Proceedings of the 2nd International Workshop on Independent Component Analysis and Blind Signal Separation, 2000, June 19-22, Helsinki, Finland 633-644, 2000 (PDF)
Kreutz-Delgado, K. Rao, B. D. Engan, K. Lee, T.-W. Sejnowski, T. J. Convex/Schur-Convex (CSC) Log-Priors and Sparse Coding, Proceedings of the 6th Joint Symposium on Neural Computation, California Institute of Technology, Pasadena, CA, 65-71, 1999 (PDF)
Lee, T.-W. Lewicki, M. S. Sejnowski, T. J. ICA Mixture Models for Image Processing, Proceedings of the 6th Joint Symposium on Neural Computation, California Institute of Technology, Pasadena, CA, 79-86, 1999 (PDF)
Lee, T.-W. Lewicki, M. S. Sejnowski, T. J. ICA Mixture Models for Unsupervised Classification and Automatic Context Switching, International Workshop on Independent Component Analysis and Blind Signal Separation, January 11-15, 1999, Aussois, France, 209-214, 1999 (PDF)
Kreutz-Delgado, K. Rao, B. D. Engan, K. Lee, T.-W. Sejnowski, T. J. Learning Overcomplete Dictionaries: Convex/Schur-Convex (SCS) Log-Priors, Factorial Codes, and Independent/ Dependent Component Analysis (I/DCA), Proceedings of the 6th Joint Symposium on Neural Computation, California Institute of Technology, Pasadena, CA, 72-78, 1999
Jung, T.-P. Humphries, C. Lee, T.-W. Makeig, S. McKeown, M. J. Iragui, V. Sejnowski, T. J. Extended ICA Removes Artifacts from Electroencephalographic Recordings Jordan, M. I. Kearns, M. J. Solla, S. A. (Ed.), Advances in Neural Information Processing Systems, 10, MIT Press, Cambridge, MA, 894-900, 1998 (PDF)
Lee, T.-W. Sejnowski, T. J. Independent Component Analysis for Mixed Sub-Gaussian and Super-Gaussian Sources, Proceedings of the 4th Joint Symposium on Neural Computation, University of California, San Diego and University of Southern California 6, Institute for Neural Computation, La Jolla, CA, 132-139, 1997 (PDF)

Abstracts

Goldbaum, M. H. Sample, P. A. Chan, K. Lee, T.-W. McGuire, D. Sejnowski, T. J. Weinreb, R. N. Analysis of Glaucomatous Visual Field Patterns Found with Unsupervised Learning Using Independent Component Analysis and Principal Component Analysis, The Association for Research in Vision and Ophthalmology Abstracts, 43:S2178, 2002 (PDF)
Boden, C. Chan, K. Goldbaum, M. Lee, T.-W. Sejnowski, T. J. Boehm, A. G. Aihara, M. Weinreb, R. N. Sample, P. A. Machine Learning Classifiers in the Diagnosis and Follow-Up of Glaucoma Using Short-Wavelength Automated Perimetry (SWAP), The Association for Research in Vision and Ophthalmology Abstracts, 43:S2127, 2002 (PDF)
Sample, P. A. Goldbaum, M. H. Chan, K. Boden, C. Lee, T.-W. Boehm, A. Vasile, C. Sejnowski, T. J. Johnson, C. A. Weinreb,R. N Predicting Development of Abnormal Standard Visual Fields in Ocular Hypertensive Eyes: Machine Learning Classifiers and Statpac-Like Analysis, The Association for Research in Vision and Ophthalmology Abstracts, 43:S1939, 2002 (PDF)
Sample, P. A. Goldbaum, M. H. Chan, K.-L. Boden, C. Lee, T.-W. Sejnowski, T. J. Johnson, C. A. Weinreb, R. N. Machine Classifiers Predict Development of Abnormal Standard Visual Fields in Ocular Hypertensive Eyes, North American Permetric Society Meeting, Skaneateles, New York, 2001 (PDF)
Doi, E. Lee, T.-W. Wachtler, T. Inui Sejnowski, T. J. Spatial and Chromatic Filters Derived from an Information-Theoretic Analysis of Natural Scenes, Society for Neuroscience Abstracts, 27, 2001 (PDF)