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Kwokleung Chan

Showing results (1-10 of 10) with videos related to

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Journal of Machine Learning Research : JMLR|April 12, 2011
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent ComponentsKwokleung Chan, Te-Won Lee, Terrence J Sejnowski
IEEE Transactions on Bio-Medical Engineering|September 7, 2002
Comparison of machine learning and traditional classifiers in glaucoma diagnosisKwokleung Chan, Te-Won Lee, Pamela A Sample, et al.
Investigative Ophthalmology & Visual Science|October 31, 2002
Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic discChristopher Bowd, Kwokleung Chan, Linda M Zangwill, et al.
Investigative Ophthalmology & Visual Science|December 7, 2007
Assessing visual field clustering schemes using machine learning classifiers in standard perimetryCatherine Boden, Kwokleung Chan, Pamela A Sample, et al.
Investigative Ophthalmology & Visual Science|August 25, 2004
Heidelberg retina tomograph measurements of the optic disc and parapapillary retina for detecting glaucoma analyzed by machine learning classifiersLinda M Zangwill, Kwokleung Chan, Christopher Bowd, et al.
Investigative Ophthalmology & Visual Science|July 31, 2002
Using machine learning classifiers to identify glaucomatous change earlier in standard visual fieldsPamela A Sample, Michael H Goldbaum, Kwokleung Chan, et al.
Investigative Ophthalmology & Visual Science|January 5, 2002
Comparing machine learning classifiers for diagnosing glaucoma from standard automated perimetryMichael H Goldbaum, Pamela A Sample, Kwokleung Chan, et al.
Investigative Ophthalmology & Visual Science|July 28, 2004
Using unsupervised learning with variational bayesian mixture of factor analysis to identify patterns of glaucomatous visual field defectsPamela A Sample, Kwokleung Chan, Catherine Boden, et al.
Investigative Ophthalmology & Visual Science|June 30, 2004
Confocal scanning laser ophthalmoscopy classifiers and stereophotograph evaluation for prediction of visual field abnormalities in glaucoma-suspect eyesChristopher Bowd, Linda M Zangwill, Felipe A Medeiros, et al.
Investigative Ophthalmology & Visual Science|September 28, 2005
Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defectsMichael H Goldbaum, Pamela A Sample, Zuohua Zhang, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Journal of Machine Learning Research : JMLR|April 12, 2011
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent ComponentsKwokleung Chan, Te-Won Lee, Terrence J Sejnowski
IEEE Transactions on Bio-Medical Engineering|September 7, 2002
Comparison of machine learning and traditional classifiers in glaucoma diagnosisKwokleung Chan, Te-Won Lee, Pamela A Sample, et al.
Investigative Ophthalmology & Visual Science|October 31, 2002
Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic discChristopher Bowd, Kwokleung Chan, Linda M Zangwill, et al.
Investigative Ophthalmology & Visual Science|December 7, 2007
Assessing visual field clustering schemes using machine learning classifiers in standard perimetryCatherine Boden, Kwokleung Chan, Pamela A Sample, et al.
Investigative Ophthalmology & Visual Science|August 25, 2004
Heidelberg retina tomograph measurements of the optic disc and parapapillary retina for detecting glaucoma analyzed by machine learning classifiersLinda M Zangwill, Kwokleung Chan, Christopher Bowd, et al.
Investigative Ophthalmology & Visual Science|July 31, 2002
Using machine learning classifiers to identify glaucomatous change earlier in standard visual fieldsPamela A Sample, Michael H Goldbaum, Kwokleung Chan, et al.
Investigative Ophthalmology & Visual Science|January 5, 2002
Comparing machine learning classifiers for diagnosing glaucoma from standard automated perimetryMichael H Goldbaum, Pamela A Sample, Kwokleung Chan, et al.
Investigative Ophthalmology & Visual Science|July 28, 2004
Using unsupervised learning with variational bayesian mixture of factor analysis to identify patterns of glaucomatous visual field defectsPamela A Sample, Kwokleung Chan, Catherine Boden, et al.
Investigative Ophthalmology & Visual Science|June 30, 2004
Confocal scanning laser ophthalmoscopy classifiers and stereophotograph evaluation for prediction of visual field abnormalities in glaucoma-suspect eyesChristopher Bowd, Linda M Zangwill, Felipe A Medeiros, et al.
Investigative Ophthalmology & Visual Science|September 28, 2005
Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defectsMichael H Goldbaum, Pamela A Sample, Zuohua Zhang, et al.
Pageof 1