Guang Dai

	2011
29		Jianping Shi, Xiang Ren, Guang Dai, Jingdong Wang, Zhihua Zhang: A non-convex relaxation approach to sparse dictionary learning. CVPR 2011: 1809-1816
28		Zhihua Zhang, Guang Dai, Michael I. Jordan: Bayesian Generalized Kernel Mixed Models. Journal of Machine Learning Research 12: 111-139 (2011)
	2010
27		Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang: Sparse Unsupervised Dimensionality Reduction Algorithms. ECML/PKDD (1) 2010: 361-376
26		Zhihua Zhang, Guang Dai, Congfu Xu, Michael I. Jordan: Regularized Discriminant Analysis, Ridge Regression and Beyond. Journal of Machine Learning Research 11: 2199-2228 (2010)
25		Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. Jordan: Bayesian Generalized Kernel Models. Journal of Machine Learning Research - Proceedings Track 9: 972-979 (2010)
24		Zhihua Zhang, Guang Dai, Michael I. Jordan: Matrix-Variate Dirichlet Process Mixture Models. Journal of Machine Learning Research - Proceedings Track 9: 980-987 (2010)
23		Zhihua Zhang, Gang Wang, Dit-Yan Yeung, Guang Dai, Frederick H. Lochovsky: A regularization framework for multiclass classification: A deterministic annealing approach. Pattern Recognition 43(7): 2466-2475 (2010)
	2009
22		Zhihua Zhang, Guang Dai, Michael I. Jordan: A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis. ECML/PKDD (2) 2009: 632-647
21		Zhijun Yang, Guang Dai, Wei Li, Yanbiao Jiang: Research on Magnetic Flux Leakage Signals Quantity Technology of Tank Floor Corrosion Defects Based on Artificial Neural Network. ICNC (2) 2009: 245-249
20		Zhihua Zhang, Guang Dai: Optimal Scoring for Unsupervised Learning. NIPS 2009: 2241-2249
	2008
19		Dit-Yan Yeung, Hong Chang, Guang Dai: A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability. Neural Computation 20(11): 2839-2861 (2008)
	2007
18		Guang Dai, Dit-Yan Yeung: Kernel selection forl semi-supervised kernel machines. ICML 2007: 185-192
17		Dit-Yan Yeung, Hong Chang, Guang Dai: A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning. IJCAI 2007: 1138-1143
16		Guang Dai, Dit-Yan Yeung: Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data. IJCAI 2007: 744-749
15		Guang Dai, Dit-Yan Yeung, Yuntao Qian: Face recognition using a kernel fractional-step discriminant analysis algorithm. Pattern Recognition 40(1): 229-243 (2007)
14		Dit-Yan Yeung, Hong Chang, Guang Dai: Learning the kernel matrix by maximizing a KFD-based class separability criterion. Pattern Recognition 40(7): 2021-2028 (2007)
	2006
13		Guang Dai, Dit-Yan Yeung: Tensor Embedding Methods. AAAI 2006: 330-335
12		Guang Dai, Dit-Yan Yeung, Hong Chang: Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion. ECCV (4) 2006: 308-320
11		Jian Xia, Dit-Yan Yeung, Guang Dai: Local Discriminant Embedding with Tensor Representation. ICIP 2006: 929-932
	2005
10		Guang Dai, Dit-Yan Yeung: Nonlinear dimensionality reduction for classification using kernel weighted subspace method. ICIP (2) 2005: 838-841
	2004
9		Guang Dai, Yuntao Qian: Face Recognition Using Novel LDA-Based Algorithms. ECAI 2004: 455-459
8		Guang Dai, Yasutoshi Otani: A robust feature extraction framework for face recognition. ICIP 2004: 1393-1396
7		Guang Dai, Yuntao Qian: Kernel generalized nonlinear discriminant analysis algorithm for pattern recognition. ICIP 2004: 2697-2700
6		Guang Dai, Yuntao Qian: A Gabor direct fractional-step LDA algorithm for face recognition. ICME 2004: 61-64
5		Guang Dai, Yuntao Qian, Sen Jia: A Kernel Fractional-Step Nonlinear Discriminant Analysis for Pattern Recognition. ICPR (2) 2004: 431-434
4		Sen Jia, Yuntao Qian, Guang Dai: An Advanced Segmental Semi-Markov Model Based Online Series Pattern Detection. ICPR (3) 2004: 634-637
3		Guang Dai, Yuntao Qian: Face recognition with the robust feature extracted by the generalized Foley-Sammon transform. ISCAS (2) 2004: 109-112
2		Guang Dai, Yuntao Qian: By normalizing to improve generalized Foley-Sammon transform in high-dimensional spaces - with application to face recognition. SMC (3) 2004: 2175-2179
	2003
1		Guang Dai, Huanhuai Zhou, Lin Zhang, Changle Zhou: Feature Extraction Method Based on the Generalized Weighted Foley-Sammon Transform in High Dimensional Spaces. IICAI 2003: 578-589

Coauthor Index

1	Hong Chang	[12] [14] [17] [19]
2	Wenjun Dou	[27]
3	Sen Jia	[4] [5]
4	Yanbiao Jiang	[21]
5	Michael I. Jordan	[22] [24] [25] [26] [28]
6	Wei Li	[21]
7	Frederick H. Lochovsky	[23]
8	Yasutoshi Otani	[8]
9	Yuntao Qian	[2] [3] [4] [5] [6] [7] [9] [15]
10	Xiang Ren	[29]
11	Jianping Shi	[29]
12	Donghui Wang	[25]
13	Gang Wang	[23]
14	Jingdong Wang	[29]
15	Jian Xia	[11]
16	Congfu Xu	[26] [27]
17	Zhijun Yang	[21]
18	Dit-Yan Yeung	[10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [23]
19	Lin Zhang	[1]
20	Zhihua Zhang	[20] [22] [23] [24] [25] [26] [27] [28] [29]
21	Changle Zhou	[1]
22	Huanhuai Zhou	[1]

Colors in the list of coauthors

Last update Tue May 29 20:41:18 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page