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Kwokleung Chan, Ph.D.

Affiliations: 
University of California, San Diego, La Jolla, CA 
Area:
Computation & Theory
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"Kwokleung Chan"
Mean distance: 12.55 (cluster 17)
 		SNBCP
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Terrence J. Sejnowski grad student 2002 UCSD
 (Bayesian learning in classification and density estimation.)

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Publications

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Boden C, Chan K, Sample PA, et al. (2007) Assessing visual field clustering schemes using machine learning classifiers in standard perimetry. Investigative Ophthalmology & Visual Science. 48: 5582-90
Goldbaum MH, Sample PA, Zhang Z, et al. (2005) Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defects. Investigative Ophthalmology & Visual Science. 46: 3676-83
Zangwill LM, Chan K, Bowd C, et al. (2004) Heidelberg retina tomograph measurements of the optic disc and parapapillary retina for detecting glaucoma analyzed by machine learning classifiers. Investigative Ophthalmology & Visual Science. 45: 3144-51
Sample PA, Chan K, Boden C, et al. (2004) Using unsupervised learning with variational bayesian mixture of factor analysis to identify patterns of glaucomatous visual field defects. Investigative Ophthalmology & Visual Science. 45: 2596-605
Bowd C, Zangwill LM, Medeiros FA, et al. (2004) Confocal scanning laser ophthalmoscopy classifiers and stereophotograph evaluation for prediction of visual field abnormalities in glaucoma-suspect eyes. Investigative Ophthalmology & Visual Science. 45: 2255-62
Chan K, Lee TW, Sejnowski TJ. (2003) Variational Bayesian learning of ICA with missing data Neural Computation. 15: 1991-2011
Kwon OW, Chan K, Lee TW. (2003) Speech feature analysis using variational Bayesian PCA Ieee Signal Processing Letters. 10: 137-140
Chan K, Lee TW, Sejnowski TJ. (2002) Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components. Journal of Machine Learning Research : Jmlr. 3: 99-114
Bowd C, Chan K, Zangwill LM, et al. (2002) Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic disc. Investigative Ophthalmology & Visual Science. 43: 3444-54
Chan K, Lee TW, Sample PA, et al. (2002) Comparison of machine learning and traditional classifiers in glaucoma diagnosis. Ieee Transactions On Bio-Medical Engineering. 49: 963-74
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