Kwokleung Chan, Ph.D.
Affiliations: | University of California, San Diego, La Jolla, CA |
Area:
Computation & TheoryGoogle:
"Kwokleung Chan"Mean distance: 12.55 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| 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 |