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Zhihua Zhang
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Publications
- 2014
- [j39]Zhihua Zhang, Cheng Chen, Guang Dai, Wu-Jun Li, Dit-Yan Yeung:
Multicategory large margin classification methods: Hinge losses vs. coherence functions. Artif. Intell. 215: 55-78 (2014) - 2013
- [j32]Dehua Liu, Hui Qian, Guang Dai, Zhihua Zhang:
An iterative SVM approach to feature selection and classification in high-dimensional datasets. Pattern Recognit. 46(9): 2531-2537 (2013) - 2012
- [j27]Zhihua Zhang, Dehua Liu, Guang Dai, Michael I. Jordan:
Coherence functions with applications in large-margin classification methods. J. Mach. Learn. Res. 13: 2705-2734 (2012) - 2011
- [j23]Zhihua Zhang, Guang Dai, Michael I. Jordan:
Bayesian Generalized Kernel Mixed Models. J. Mach. Learn. Res. 12: 111-139 (2011) - [c39]Jianping Shi, Xiang Ren, Guang Dai, Jingdong Wang, Zhihua Zhang:
A non-convex relaxation approach to sparse dictionary learning. CVPR 2011: 1809-1816 - 2010
- [j19]Zhihua Zhang, Guang Dai, Congfu Xu, Michael I. Jordan:
Regularized Discriminant Analysis, Ridge Regression and Beyond. J. Mach. Learn. Res. 11: 2199-2228 (2010) - [j17]Zhihua Zhang, Gang Wang, Dit-Yan Yeung, Guang Dai, Frederick H. Lochovsky:
A regularization framework for multiclass classification: A deterministic annealing approach. Pattern Recognit. 43(7): 2466-2475 (2010) - [c32]Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang:
Sparse Unsupervised Dimensionality Reduction Algorithms. ECML/PKDD (1) 2010: 361-376 - [c31]Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. Jordan:
Bayesian Generalized Kernel Models. AISTATS 2010: 972-979 - [c30]Zhihua Zhang, Guang Dai, Michael I. Jordan:
Matrix-Variate Dirichlet Process Mixture Models. AISTATS 2010: 980-987 - 2009
- [c26]Zhihua Zhang, Guang Dai:
Optimal Scoring for Unsupervised Learning. NIPS 2009: 2241-2249 - [c25]Zhihua Zhang, Guang Dai, Michael I. Jordan:
A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis. ECML/PKDD (2) 2009: 632-647
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