Ivor W. Tsang

	2009
22		Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo: Using large-scale web data to facilitate textual query based retrieval of consumer photos. ACM Multimedia 2009: 55-64
21		Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo: T-IRS: textual query based image retrieval system for consumer photos. ACM Multimedia 2009: 983-984
20		Yu-Feng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua Zhou: A Convex Method for Locating Regions of Interest with Multi-instance Learning. ECML/PKDD (2) 2009: 15-30
19		Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi: SimpleNPKL: simple non-parametric kernel learning. ICML 2009: 160
18		Lixin Duan, Ivor W. Tsang, Dong Xu, Tat-Seng Chua: Domain adaptation from multiple sources via auxiliary classifiers. ICML 2009: 37
17		Feiping Nie, Dong Xu, Ivor W. Tsang, Changshui Zhang: Spectral Embedded Clustering. IJCAI 2009: 1181-1186
16		Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang: Domain Adaptation via Transfer Component Analysis. IJCAI 2009: 1187-1192
15		Brian Kan-Wing Mak, Tsz-Chung Lai, Ivor W. Tsang, James Tin-Yau Kwok: Maximum Penalized Likelihood Kernel Regression for Fast Adaptation. IEEE Transactions on Audio, Speech & Language Processing 17(7): 1372-1381 (2009)
	2008
14		Kai Zhang, Ivor W. Tsang, James T. Kwok: Improved Nyström low-rank approximation and error analysis. ICML 2008: 1232-1239
	2007
13		Kai Zhang, Ivor W. Tsang, James T. Kwok: Maximum margin clustering made practical. ICML 2007: 1119-1126
12		Ivor W. Tsang, András Kocsor, James T. Kwok: Simpler core vector machines with enclosing balls. ICML 2007: 911-918
11		Ivor W. Tsang, James T. Kwok: Ensembles of Partially Trained SVMs with Multiplicative Updates. IJCAI 2007: 1089-1094
10		Jooyoung Park, Daesung Kang, Jongho Kim, James T. Kwok, Ivor W. Tsang: SVDD-Based Pattern Denoising. Neural Computation 19(7): 1919-1938 (2007)
	2006
9		Ivor W. Tsang, András Kocsor, James T. Kwok: Diversified SVM Ensembles for Large Data Sets. ECML 2006: 792-800
8		Ivor W. Tsang, James T. Kwok, Shutao Li: Learning the Kernel in Mahalanobis One-Class Support Vector Machines. IJCNN 2006: 1169-1175
7		Ivor W. Tsang, András Kocsor, James T. Kwok: Efficient kernel feature extraction for massive data sets. KDD 2006: 724-729
6		Ivor W. Tsang, James T. Kwok: Large-Scale Sparsified Manifold Regularization. NIPS 2006: 1401-1408
	2005
5		Ivor W. Tsang, James T. Kwok, Kimo T. Lai: Core Vector Regression for very large regression problems. ICML 2005: 912-919
4		Ivor W. Tsang, James T. Kwok, Pak-Ming Cheung: Core Vector Machines: Fast SVM Training on Very Large Data Sets. Journal of Machine Learning Research 6: 363-392 (2005)
	2004
3		Ivor W. Tsang, James T. Kwok: Efficient Hyperkernel Learning Using Second-Order Cone Programming. ECML 2004: 453-464
	2003
2		James T. Kwok, Ivor W. Tsang: Learning with Idealized Kernels. ICML 2003: 400-407
1		James T. Kwok, Ivor W. Tsang: The Pre-Image Problem in Kernel Methods. ICML 2003: 408-415

Coauthor Index

1	Pak-Ming Cheung	[4]
2	Tat-Seng Chua	[18]
3	Lixin Duan	[18]
4	Steven C. H. Hoi (Chu-Hong Hoi)	[19]
5	Daesung Kang	[10]
6	Jongho Kim	[10]
7	András Kocsor	[7] [9] [12]
8	James Tin-Yau Kwok (James T. Kwok)	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [20]
9	Kimo T. Lai	[5]
10	Tsz-Chung Lai	[15]
11	Shutao Li	[8]
12	Yu-Feng Li	[20]
13	Yiming Liu	[21] [22]
14	Jiebo Luo	[21] [22]
15	Brian Kan-Wing Mak	[15]
16	Feiping Nie	[17]
17	Sinno Jialin Pan	[16]
18	Jooyoung Park	[10]
19	Dong Xu	[17] [18] [21] [22]
20	Qiang Yang	[16]
21	Changshui Zhang (Chang-shui Zhang)	[17]
22	Kai Zhang	[13] [14]
23	Zhi-Hua Zhou	[20]
24	Jinfeng Zhuang	[19]