Jiucang Hao

发表

Relevance Vector Machine for Combining OCT and Standard Automated Perimetry Results for Discriminating Between Healthy and Glaucoma Eyes

Christopher Bowd, Jiucang Hao, Ivan Maynart Tavares, 2006 .

Assessing visual field clustering schemes using machine learning classifiers in standard perimetry.

Robert N Weinreb, Jiucang Hao, Kwokleung Chan, 2007, Investigative ophthalmology & visual science.

Speech Enhancement Using Gaussian Scale Mixture Models

Terrence J. Sejnowski, Jiucang Hao, Te-Won Lee, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Emotion recognition by speech signals

Jiucang Hao, Oh-Wook Kwon, Te-Won Lee, 2003, INTERSPEECH.

Adaptive independent vector analysis for the separation of convoluted mixtures using EM algorithm

Jiucang Hao, Te-Won Lee, Intae Lee, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defects.

Robert N Weinreb, Christopher Bowd, Jiucang Hao, 2005, Investigative ophthalmology & visual science.

Patterns of glaucomatous visual field loss in sita fields automatically identified using independent component analysis.

Robert N Weinreb, Jiucang Hao, Gil-Jin Jang, 2009, Transactions of the American Ophthalmological Society.

Learning Manifolds Transformation for Classification of Standard Automated Perimetry

Jiucang Hao, Linda M. Zangwill, T.–W. Lee, 2005 .

Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation

Terrence J. Sejnowski, Jiucang Hao, Te-Won Lee, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Unsupervised Machine Learning With Independent Component Analysis Identifies Patterns of Glaucomatous Visual Field Loss in SITA Fields

Christopher Bowd, Jiucang Hao, Linda M. Zangwill, 2009 .

Machine Learning Classifiers Can Detect Subtle Field Defects in Eyes of HIV Subjects

Terrence J. Sejnowski, Jiucang Hao, T.–W. Lee, 2007 .

Probability of Glaucoma Determined from Standard Automated Perimetry and from Optic Disk Topography using Relevance Vector Machine Classifiers

Terrence J. Sejnowski, Christopher Bowd, Jiucang Hao, 2004 .

Combining Functional and Structural Tests Improves the Diagnostic Accuracy of Relevance Vector Machine Classifiers

Robert N Weinreb, Christopher Bowd, Jiucang Hao, 2010, Journal of glaucoma.

Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior

Terrence J. Sejnowski, Jiucang Hao, Te-Won Lee, 2010, Neural Computation.

Speech enhancement and source separation using probabilistic models

Jiucang Hao, 2008 .

Using unsupervised learning with variational bayesian mixture of factor analysis to identify patterns of glaucomatous visual field defects.

Robert N Weinreb, Jiucang Hao, Te-Won Lee, 2004, Investigative ophthalmology & visual science.

Analysis with support vector machine shows HIV-positive subjects without infectious retinitis have mfERG deficiencies compared to normal eyes.

Jiucang Hao, Michael H Goldbaum, Dirk-Uwe Bartsch, 2008, Transactions of the American Ophthalmological Society.

Confocal scanning laser ophthalmoscopy classifiers and stereophotograph evaluation for prediction of visual field abnormalities in glaucoma-suspect eyes.

Robert N Weinreb, Christopher Bowd, Jiucang Hao, 2004, Investigative ophthalmology & visual science.

Generative and Filtering Approaches for Overcomplete Representations

Kaare Brandt Petersen, Jiucang Hao, Te-Won Lee, 2005 .

Machine learning classifiers detect subtle field defects in eyes of HIV individuals.

Robert N Weinreb, Jiucang Hao, Te-Won Lee, 2007, Transactions of the American Ophthalmological Society.