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First name:	Ivor W.
Last name:	Tsang
DBLP:	35/5873
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	Journal article Shenghua Gao, Ivor W. Tsang, Liang-Tien Chia. Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications.	IEEE Trans. Pattern Anal. Mach. Intell. 2013, Volume 35	(0)	2013
	Journal article Shenghua Gao, Ivor W. Tsang, Liang-Tien Chia. Sparse Representation With Kernels.	IEEE Transactions on Image Processing 2013, Volume 22	(0)	2013
	Conference paper Qi Mao, Ivor W. Tsang. Efficient Multitemplate Learning for Structured Prediction.	IEEE Trans. Neural Netw. Learning Syst. 2013, Volume 24	(0)	2013
	Conference paper Xinxing Xu, Ivor W. Tsang, Dong Xu. Soft Margin Multiple Kernel Learning.	IEEE Trans. Neural Netw. Learning Syst. 2013, Volume 24	(0)	2013
	Journal article Yu-Feng Li, Ivor W. Tsang, James Tin-Yau Kwok, Zhi-Hua Zhou. Convex and Scalable Weakly Labeled SVMs	CoRR 2013, Volume 0	(0)	2013
	Journal article Mingkui Tan, Ivor W. Tsang, Li Wang. Is Matching Pursuit Solving Convex Problems?	CoRR 2013, Volume 0	(0)	2013
	Conference paper Qi Mao, Ivor W. Tsang, Shenghua Gao. Objective-Guided Image Annotation.	IEEE Transactions on Image Processing 2013, Volume 22	(0)	2013
	Conference paper Lixin Duan, Ivor W. Tsang, Dong Xu. Domain Transfer Multiple Kernel Learning.	IEEE Trans. Pattern Anal. Mach. Intell. 2012, Volume 34	(0)	2012
	Conference paper Shukai Li, Ivor W. Tsang, Narendra S. Chaudhari. Relevance vector machine based infinite decision agent ensemble learning for credit risk analysis.	Expert Syst. Appl. 2012, Volume 39	(0)	2012
	Conference paper Lixin Duan, Dong Xu, Ivor W. Tsang. Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach.	IEEE Trans. Neural Netw. Learning Syst. 2012, Volume 23	(0)	2012
	Conference paper Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong. Transductive Ordinal Regression.	IEEE Trans. Neural Netw. Learning Syst. 2012, Volume 23	(0)	2012
	Conference paper Lin Chen, Ivor W. Tsang, Dong Xu. Laplacian Embedded Regression for Scalable Manifold Regularization.	IEEE Trans. Neural Netw. Learning Syst. 2012, Volume 23	(0)	2012
	Conference paper Liang Feng, Yew-Soon Ong, Ivor W. Tsang, Ah-Hwee Tan. An evolutionary search paradigm that learns with past experiences.	Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2012, Brisbane, Australia, June 10-15, 2012 2012	(0)	2012
	Conference paper Chun-Wei Seah, Yew-Soon Ong, Ivor W. Tsang, Siwei Jiang. Pareto Rank Learning in Multi-objective Evolutionary Algorithms.	Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2012, Brisbane, Australia, June 10-15, 2012 2012	(0)	2012
	Conference paper Wen Li, Lixin Duan, Ivor W. Tsang, Dong Xu. Batch mode Adaptive Multiple Instance Learning for computer vision tasks.	2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, June 16-21, 2012 2012	(0)	2012
	Conference paper Lixin Duan, Dong Xu, Ivor W. Tsang, Jiebo Luo. Visual Event Recognition in Videos by Learning from Web Data.	IEEE Trans. Pattern Anal. Mach. Intell. 2012, Volume 34	(0)	2012
	Conference paper Mingkui Tan, Ivor W. Tsang, Li Wang, Xinming Zhang. Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection.	Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada. 2012	(0)	2012
	Conference paper Lin Chen, Dong Xu, Ivor W. Tsang, Jiebo Luo. Tag-Based Image Retrieval Improved by Augmented Features and Group-Based Refinement.	IEEE Transactions on Multimedia 2012, Volume 14	(0)	2012
	Conference paper Jian-Bo Yang, Ivor W. Tsang. Hierarchical Maximum Margin Learning for Multi-Class Classification	CoRR 2012, Volume 0	(0)	2012
	Journal article Mingkui Tan, Ivor W. Tsang, Li Wang. Towards Large-scale and Ultrahigh Dimensional Feature Selection via Feature Generation	CoRR 2012, Volume 0	(0)	2012
	Conference paper Lixin Duan, Dong Xu, Ivor W. Tsang. Learning with Augmented Features for Heterogeneous Domain Adaptation	CoRR 2012, Volume 0	(0)	2012
	Conference paper Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor W. Tsang. Meme as Building Block for Evolutionary Optimization of Problem Instances	CoRR 2012, Volume 0	(0)	2012
	Conference paper Qi Mao, Ivor W. Tsang. Parameter-Free Spectral Kernel Learning	CoRR 2012, Volume 0	(0)	2012
	Journal article Joey Tianyi Zhou, Sinno Jialin Pan, Qi Mao, Ivor W. Tsang. Multi-view Positive and Unlabeled Learning.	Journal of Machine Learning Research - Proceedings Track 2012, Volume 25	(0)	2012
	Conference paper Wen Li, Lixin Duan, Ivor W. Tsang, Dong Xu. Co-labeling: A New Multi-view Learning Approach for Ambiguous Problems.	12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012 2012	(0)	2012

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