Zhang, Zhihua - College of Computer Science and Technology, Zhejiang University

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Zhang, Zhihua - College of Computer Science and Technology, Zhejiang University

Probabilistic Kernel Principal Component Zhihua Zhang, Gang Wang, DitYan Yeung and James T. Kwok
Coherence Functions for Multicategory Margin-based Classification Methods
A Scalable Spectral Relaxation Approach to Matrix Completion via Kronecker Jiuqiang Han
Journal of Machine Learning Research 12 (2011) 31-59 Submitted 11/09; Revised 10/10; Published 1/11 Bayesian Generalized Kernel Mixed Models
A Feasible Nonconvex Relaxation Approach to Feature Selection Naiyan Wang
Sparse Unsupervised Dimensionality Reduction Wenjun Dou, Guang Dai, Congfu Xu, and Zhihua Zhang
Matrix-Variate Dirichlet Process Mixture Models Zhihua Zhang Guang Dai Michael I. Jordan
Bayesian Generalized Kernel Models Zhihua Zhang Guang Dai Donghui Wang Michael I. Jordan
Latent Variable Models for Dimensionality Reduction Zhihua Zhang
Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis
A Non-convex Relaxation Approach to Sparse Dictionary Learning Jianping Shi
Bayesian Inference on Principal Component Analysis using Reversible Jump Markov Chain Monte Carlo
Latent Wishart Processes for Relational Kernel Learning Dept. of Comp. Sci. and Eng.
Texture classification by multi-model feature integration using Bayesian networks
Sparse Representation using Nonnegative Curds and Whey Yanan Liu, Fei Wu, Zhihuang Zhang, Yueting Zhuang
Optimal Scoring for Unsupervised Learning Zhihua Zhang and Guang Dai
Learning Click Models via Probit Bayesian Inference Yuchen Zhang1,2
Bootstrapping SVM Active Learning by Incorporating Unlabelled Images for Image Retrieval
Pattern Recognition 36 (2003) 19731983 www.elsevier.com/locate/patcog
An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling