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Jiucang Hao

Showing results (1-10 of 14) with videos related to

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IEEE Transactions on Audio, Speech, and Language Processing|March 2, 2011
Speech Enhancement Using Gaussian Scale Mixture ModelsJiucang Hao, Te-Won Lee, Terrence J Sejnowski
Neural Computation|January 27, 2010
Independent vector analysis for source separation using a mixture of gaussians priorJiucang Hao, Intae Lee, Te-Won Lee, et al.
IEEE Transactions on Audio, Speech, and Language Processing|April 30, 2010
Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian EstimationJiucang Hao, Hagai Attias, Srikantan Nagarajan, et al.
Transactions of the American Ophthalmological Society|March 12, 2009
Analysis with support vector machine shows HIV-positive subjects without infectious retinitis have mfERG deficiencies compared to normal eyesMichael H Goldbaum, Irina Falkenstein, Igor Kozak, et al.
Graefe'S Archive for Clinical and Experimental Ophthalmology = Albrecht Von Graefes Archiv Fur Klinische Und Experimentelle Ophthalmologie|September 25, 2010
Pattern recognition can detect subtle field defects in eyes of HIV individuals without retinitis under HAARTMichael H Goldbaum, Igor Kozak, Jiucang Hao, et al.
Transactions of the American Ophthalmological Society|April 23, 2008
Machine learning classifiers detect subtle field defects in eyes of HIV individualsIgor Kozak, Pamela A Sample, Jiucang Hao, 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.
Journal of Glaucoma|June 17, 2009
Combining functional and structural tests improves the diagnostic accuracy of relevance vector machine classifiersLyne Racette, Christine Y Chiou, Jiucang Hao, 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 measurementsChristopher Bowd, Felipe A Medeiros, Zuohua Zhang, et al.
Investigative Ophthalmology & Visual Science|March 11, 2008
Bayesian machine learning classifiers for combining structural and functional measurements to classify healthy and glaucomatous eyesChristopher Bowd, Jiucang Hao, Ivan M Tavares, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Audio, Speech, and Language Processing|March 2, 2011
Speech Enhancement Using Gaussian Scale Mixture ModelsJiucang Hao, Te-Won Lee, Terrence J Sejnowski
Neural Computation|January 27, 2010
Independent vector analysis for source separation using a mixture of gaussians priorJiucang Hao, Intae Lee, Te-Won Lee, et al.
IEEE Transactions on Audio, Speech, and Language Processing|April 30, 2010
Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian EstimationJiucang Hao, Hagai Attias, Srikantan Nagarajan, et al.
Transactions of the American Ophthalmological Society|March 12, 2009
Analysis with support vector machine shows HIV-positive subjects without infectious retinitis have mfERG deficiencies compared to normal eyesMichael H Goldbaum, Irina Falkenstein, Igor Kozak, et al.
Graefe'S Archive for Clinical and Experimental Ophthalmology = Albrecht Von Graefes Archiv Fur Klinische Und Experimentelle Ophthalmologie|September 25, 2010
Pattern recognition can detect subtle field defects in eyes of HIV individuals without retinitis under HAARTMichael H Goldbaum, Igor Kozak, Jiucang Hao, et al.
Transactions of the American Ophthalmological Society|April 23, 2008
Machine learning classifiers detect subtle field defects in eyes of HIV individualsIgor Kozak, Pamela A Sample, Jiucang Hao, 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.
Journal of Glaucoma|June 17, 2009
Combining functional and structural tests improves the diagnostic accuracy of relevance vector machine classifiersLyne Racette, Christine Y Chiou, Jiucang Hao, 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 measurementsChristopher Bowd, Felipe A Medeiros, Zuohua Zhang, et al.
Investigative Ophthalmology & Visual Science|March 11, 2008
Bayesian machine learning classifiers for combining structural and functional measurements to classify healthy and glaucomatous eyesChristopher Bowd, Jiucang Hao, Ivan M Tavares, et al.
Pageof 2