Analysis of Glaucomatous Visual Field Patterns Found with Unsupervised Learning Using Indpendent Component Analysis and Principal Component Analysis
RN Weinreb , MH Goldbaum , TJ Sejnowski , T-W Lee
Investigative Ophthalmology & Visual Science 43 ( 13) 2178 -2178
2002
Predicting Development Of Abnormal Standard Visual Fields In Ocular Hypertensive Eyes: Machine Learning Classifiers And Statpac-like Analysis
RN Weinreb , MH Goldbaum , T Sejnowski , C Boden
Investigative Ophthalmology & Visual Science 43 ( 13) 1939 -1939
2002
Combining time-delayed decorrelation and ICA
T-W Lee , A Ziehe , R Orglmeister , T Sejnowski
1998
SPEECH-P11. 2: SPEECH ENHANCEMENT USING BLIND SOURCE SEPARATION AND TWO-CHANNEL ENERGY BASED SPEAKER DETECTION
E Visser , T-W Lee
IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS SPEECH AND SIGNAL PROCESSING 1 I -836
2003
THE GENERALIZED GAUSSIAN MIXTURE MODEL USING ICA
Michael S. Lewicki , Te-Won Lee
100
2007
Generative and Filtering Approaches for Overcomplete Representations
Kaare Brandt Petersen , Jiucang Hao , Te-Won Lee
international conference on neural information processing 8 ( 1)
2
2005
Selectively authenticating a group of devices as being in a shared environment based on locally captured ambient sound
Te-Won Lee , Ravinder Paul Chandhok , Taesu Kim
8
2014
Acoustic Blind Source Separation using Graphical Models
Te-Won Lee
Audio Engineering Society Conference: 34th International Conference: New Trends in Audio for Mobile and Handheld Devices
2008
Comparing machine learning classifiers for diagnosing glaucoma from standard automated perimetry
Christopher A. Girkin , Robert N. Weinreb , Michael H. Goldbaum , Terrence Sejnowski
Investigative Ophthalmology & Visual Science 43 ( 1) 162 -169
86
2002
Using machine learning classifiers to identify glaucomatous change earlier in standard visual fields.
Robert N. Weinreb , Michael H. Goldbaum , Terrence Sejnowski , Catherine Boden
Investigative Ophthalmology & Visual Science 43 ( 8) 2660 -2665
26
2002
Independent vector analysis (IVA) for group fMRI processing of subcortical area
Ferenc A. Jolesz , Te-Won Lee , Seung-Schik Yoo , Jong-Hwan Lee
International Journal of Imaging Systems and Technology 18 ( 1) 29 -41
5
2008
A Probabilistic Approach to Single Channel Blind Signal Separation
Gil-jin Jang , Te-Won Lee
neural information processing systems 15 1197 -1204
86
2002
Handling Missing Data with Variational Bayesian Learning of ICA
Terrence J. Sejnowski , Te-Won Lee , Kwokleung Chan
neural information processing systems 15 905 -912
4
2002
Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic disc
Robert N. Weinreb , Michael H. Goldbaum , Terrence J. Sejnowski , Terrence J. Sejnowski
Investigative Ophthalmology & Visual Science 43 ( 11) 3444 -3454
86
2002
Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes
Thomas Wachtler , Terrence J. Sejnowski , Te-Won Lee
neural information processing systems 866 -872
6
2000
Machine learning classifiers detect subtle field defects in eyes of HIV individuals.
Robert N. Weinreb , Michael H. Goldbaum , Igor Kozak , Pamela A. Sample
Transactions of the American Ophthalmological Society 105 111
18
2007
Unsupervised Classification with Non-Gaussian Mixture Models Using ICA
Terrence J. Sejnowski , Michael S. Lewicki , Te-Won Lee
neural information processing systems 11 508 -514
56
1998
Extended ICA Removes Artifacts from Electroencephalographic Recordings
Scott Makeig , Terrence J. Sejnowski , Vicente Iragui , Tzyy-Ping Jung
neural information processing systems 10 894 -900
341
1997
Independent component analysis
Te-Won Lee , Te-Won Lee
1,556
1998
Speech enhancement with noise parameter estimated by a sequential Monte Carlo method
Kaisheng Yao , Te-Won Lee
ieee signal processing workshop on statistical signal processing
2003