Latest Publications

• Hao, J. Lee, T.W. Sejnowski, T. J. Speech Enhancement using Gaussian Scale Mixture Models, IEEE transactions on audio, speech and language processing, 18: 1127-1136, 2010 PMCID:PMC3045111. (PDF)
• Hao, J. Lee, I. Lee, T.W. Sejnowski, T. J. Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior, Neural Computation, 22 (6): 1646-1673, 2010 PMCID:PMC2878962 (PDF)
• Hao, J. Attias, H. Nagarajan, S. Lee, T. Sejnowski, T. J. Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation, IEEE transactions on audio, speech and language processing, 17: 24-37, 2009 PMCID:PMC2860321 (PDF)
• Bowd, C. Medeiros, F. A. Zhang, Z. Zangwill, L. M. Hao, J. Lee, T.-W. Sejnowski, T. J. Weinberg, R. J. Goldbaum, M. H. Relevance Vector Machine and Support Vector Machine Classifier Analysis of Scanning Laser Polarimetry Retinal Nerve Fiber Layer Measurements, Investigative Ophthalmology & Visual Science, Vol. 46, No. 4, 2005 (PDF)
• Goldbaum, M. Sample, P. A. Zhang, Z. Chan, K. Hao, J, Lee T.-W. Boden, C. Bourne, R. Zangwill, L. A. Sejnowski, T. J. Spinak, D. Weinreb, R. N. Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defects, Investigative Ophthalmology and Visual Science, 46(10):3676-83, 2005 PMCID:PMC1866286 (PDF)
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