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IEEE Transactions on Audio, Speech, and Language Processing
|
April 30, 2010
Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation
Jiucang Hao, Hagai Attias, Srikantan Nagarajan, et al.
IEEE Transactions on Bio-Medical Engineering
|
September 7, 2002
Comparison of machine learning and traditional classifiers in glaucoma diagnosis
Kwokleung Chan, Te-Won Lee, Pamela A Sample, et al.
Neural Computation
|
February 20, 2003
Dictionary learning algorithms for sparse representation
Kenneth Kreutz-Delgado, Joseph F Murray, Bhaskar D Rao, et al.
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers
|
September 9, 2010
Imaging Brain Dynamics Using Independent Component Analysis
Tzyy-Ping Jung, Scott Makeig, Martin J McKeown, 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 disc
Christopher Bowd, Kwokleung Chan, Linda M Zangwill, et al.
Transactions of the American Ophthalmological Society
|
April 23, 2008
Machine learning classifiers detect subtle field defects in eyes of HIV individuals
Igor Kozak, Pamela A Sample, Jiucang Hao, 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 classifiers
Linda M Zangwill, Kwokleung Chan, Christopher Bowd, et al.
Investigative Ophthalmology & Visual Science
|
March 26, 2005
Relevance vector machine and support vector machine classifier analysis of scanning laser polarimetry retinal nerve fiber layer measurements
Christopher Bowd, Felipe A Medeiros, Zuohua Zhang, et al.
Journal of Glaucoma
|
June 17, 2009
Combining functional and structural tests improves the diagnostic accuracy of relevance vector machine classifiers
Lyne Racette, Christine Y Chiou, Jiucang Hao, et al.
Investigative Ophthalmology & Visual Science
|
March 11, 2008
Bayesian machine learning classifiers for combining structural and functional measurements to classify healthy and glaucomatous eyes
Christopher Bowd, Jiucang Hao, Ivan M Tavares, et al.
Page
of 3
Search research articles
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Showing results (11-20 of 26) with videos related to
Sort By:
Page
of 3
IEEE Transactions on Audio, Speech, and Language Processing
|
April 30, 2010
Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation
Jiucang Hao, Hagai Attias, Srikantan Nagarajan, et al.
IEEE Transactions on Bio-Medical Engineering
|
September 7, 2002
Comparison of machine learning and traditional classifiers in glaucoma diagnosis
Kwokleung Chan, Te-Won Lee, Pamela A Sample, et al.
Neural Computation
|
February 20, 2003
Dictionary learning algorithms for sparse representation
Kenneth Kreutz-Delgado, Joseph F Murray, Bhaskar D Rao, et al.
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers
|
September 9, 2010
Imaging Brain Dynamics Using Independent Component Analysis
Tzyy-Ping Jung, Scott Makeig, Martin J McKeown, 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 disc
Christopher Bowd, Kwokleung Chan, Linda M Zangwill, et al.
Transactions of the American Ophthalmological Society
|
April 23, 2008
Machine learning classifiers detect subtle field defects in eyes of HIV individuals
Igor Kozak, Pamela A Sample, Jiucang Hao, 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 classifiers
Linda M Zangwill, Kwokleung Chan, Christopher Bowd, et al.
Investigative Ophthalmology & Visual Science
|
March 26, 2005
Relevance vector machine and support vector machine classifier analysis of scanning laser polarimetry retinal nerve fiber layer measurements
Christopher Bowd, Felipe A Medeiros, Zuohua Zhang, et al.
Journal of Glaucoma
|
June 17, 2009
Combining functional and structural tests improves the diagnostic accuracy of relevance vector machine classifiers
Lyne Racette, Christine Y Chiou, Jiucang Hao, et al.
Investigative Ophthalmology & Visual Science
|
March 11, 2008
Bayesian machine learning classifiers for combining structural and functional measurements to classify healthy and glaucomatous eyes
Christopher Bowd, Jiucang Hao, Ivan M Tavares, et al.
Page
of 3