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Title |
Venue |
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Journal article
Shenghua Gao, Ivor W. Tsang, Liang-Tien Chia.
Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications.
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IEEE Trans. Pattern Anal. Mach. Intell. 2013, Volume 35 |
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2013 |
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Journal article
Shenghua Gao, Ivor W. Tsang, Liang-Tien Chia.
Sparse Representation With Kernels.
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IEEE Transactions on Image Processing 2013, Volume 22 |
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2013 |
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Conference paper
Qi Mao, Ivor W. Tsang.
Efficient Multitemplate Learning for Structured Prediction.
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IEEE Trans. Neural Netw. Learning Syst. 2013, Volume 24 |
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2013 |
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Conference paper
Xinxing Xu, Ivor W. Tsang, Dong Xu.
Soft Margin Multiple Kernel Learning.
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IEEE Trans. Neural Netw. Learning Syst. 2013, Volume 24 |
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2013 |
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Journal article
Yu-Feng Li, Ivor W. Tsang, James Tin-Yau Kwok, Zhi-Hua Zhou.
Convex and Scalable Weakly Labeled SVMs
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CoRR 2013, Volume 0 |
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2013 |
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Journal article
Mingkui Tan, Ivor W. Tsang, Li Wang.
Is Matching Pursuit Solving Convex Problems?
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CoRR 2013, Volume 0 |
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2013 |
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Conference paper
Qi Mao, Ivor W. Tsang, Shenghua Gao.
Objective-Guided Image Annotation.
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IEEE Transactions on Image Processing 2013, Volume 22 |
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2013 |
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Conference paper
Lixin Duan, Ivor W. Tsang, Dong Xu.
Domain Transfer Multiple Kernel Learning.
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IEEE Trans. Pattern Anal. Mach. Intell. 2012, Volume 34 |
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2012 |
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Conference paper
Shukai Li, Ivor W. Tsang, Narendra S. Chaudhari.
Relevance vector machine based infinite decision agent ensemble learning for credit risk analysis.
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Expert Syst. Appl. 2012, Volume 39 |
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2012 |
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Conference paper
Lixin Duan, Dong Xu, Ivor W. Tsang.
Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach.
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IEEE Trans. Neural Netw. Learning Syst. 2012, Volume 23 |
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2012 |
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Conference paper
Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong.
Transductive Ordinal Regression.
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IEEE Trans. Neural Netw. Learning Syst. 2012, Volume 23 |
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2012 |
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Conference paper
Lin Chen, Ivor W. Tsang, Dong Xu.
Laplacian Embedded Regression for Scalable Manifold Regularization.
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IEEE Trans. Neural Netw. Learning Syst. 2012, Volume 23 |
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2012 |
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Conference paper
Liang Feng, Yew-Soon Ong, Ivor W. Tsang, Ah-Hwee Tan.
An evolutionary search paradigm that learns with past experiences.
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Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2012, Brisbane, Australia, June 10-15, 2012 2012 |
(0)
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2012 |
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Conference paper
Chun-Wei Seah, Yew-Soon Ong, Ivor W. Tsang, Siwei Jiang.
Pareto Rank Learning in Multi-objective Evolutionary Algorithms.
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Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2012, Brisbane, Australia, June 10-15, 2012 2012 |
(0)
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2012 |
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Conference paper
Wen Li, Lixin Duan, Ivor W. Tsang, Dong Xu.
Batch mode Adaptive Multiple Instance Learning for computer vision tasks.
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2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, June 16-21, 2012 2012 |
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2012 |
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Conference paper
Lixin Duan, Dong Xu, Ivor W. Tsang, Jiebo Luo.
Visual Event Recognition in Videos by Learning from Web Data.
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IEEE Trans. Pattern Anal. Mach. Intell. 2012, Volume 34 |
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2012 |
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Conference paper
Mingkui Tan, Ivor W. Tsang, Li Wang, Xinming Zhang.
Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection.
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Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada. 2012 |
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2012 |
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Conference paper
Lin Chen, Dong Xu, Ivor W. Tsang, Jiebo Luo.
Tag-Based Image Retrieval Improved by Augmented Features and Group-Based Refinement.
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IEEE Transactions on Multimedia 2012, Volume 14 |
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2012 |
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Conference paper
Jian-Bo Yang, Ivor W. Tsang.
Hierarchical Maximum Margin Learning for Multi-Class Classification
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CoRR 2012, Volume 0 |
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2012 |
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Journal article
Mingkui Tan, Ivor W. Tsang, Li Wang.
Towards Large-scale and Ultrahigh Dimensional Feature Selection via Feature Generation
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CoRR 2012, Volume 0 |
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2012 |
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Conference paper
Lixin Duan, Dong Xu, Ivor W. Tsang.
Learning with Augmented Features for Heterogeneous Domain Adaptation
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CoRR 2012, Volume 0 |
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2012 |
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Conference paper
Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor W. Tsang.
Meme as Building Block for Evolutionary Optimization of Problem Instances
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CoRR 2012, Volume 0 |
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2012 |
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Conference paper
Qi Mao, Ivor W. Tsang.
Parameter-Free Spectral Kernel Learning
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CoRR 2012, Volume 0 |
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2012 |
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Journal article
Joey Tianyi Zhou, Sinno Jialin Pan, Qi Mao, Ivor W. Tsang.
Multi-view Positive and Unlabeled Learning.
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Journal of Machine Learning Research - Proceedings Track 2012, Volume 25 |
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2012 |
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Conference paper
Wen Li, Lixin Duan, Ivor W. Tsang, Dong Xu.
Co-labeling: A New Multi-view Learning Approach for Ambiguous Problems.
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12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012 2012 |
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2012 |
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Conference paper
Xinxing Xu, Ivor W. Tsang, Dong Xu.
Handling Ambiguity via Input-Output Kernel Learning.
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12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012 2012 |
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2012 |
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Conference paper
Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong, Qi Mao.
Learning Target Predictive Function without Target Labels.
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12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012 2012 |
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2012 |
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Conference paper
Yiteng Zhai, Mingkui Tan, Ivor W. Tsang, Yew-Soon Ong.
Discovering Support and Affiliated Features from Very High Dimensions.
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Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012 2012 |
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2012 |
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Conference paper
Lixin Duan, Dong Xu, Ivor W. Tsang.
Learning with Augmented Features for Heterogeneous Domain Adaptation.
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Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012 2012 |
(0)
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2012 |
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Conference paper
Qiaoliang Xiang, Qi Mao, Kian Ming Adam Chai, Hai Leong Chieu, Ivor W. Tsang, Zhendong Zhao.
A Split-Merge Framework for Comparing Clusterings.
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Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012 2012 |
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2012 |
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Conference paper
Jian-Bo Yang, Qi Mao, Qiaoliang Xiang, Ivor W. Tsang, Kian Ming Adam Chai, Hai Leong Chieu.
Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach.
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Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2012, July 12-14, 2012, Jeju Island, Korea 2011 |
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2012 |
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Conference paper
Lin Chen, Lixin Duan, Ivor W. Tsang, Dong Xu.
Efficient Discriminative Learning of Class Hierarchy for Many Class Prediction.
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Computer Vision - ACCV 2012 - 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part I 2013 |
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2012 |
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Journal article
Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong.
Transductive Ordinal Regression
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CoRR 2011, Volume 0 |
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2011 |
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Journal article
Qi Mao, Ivor W. Tsang.
Multiple Template Learning for Structured Prediction
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CoRR 2011, Volume 0 |
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2011 |
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Journal article
Qi Mao, Ivor W. Tsang.
A Feature Selection Method for Multivariate Performance Measures
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CoRR 2011, Volume 0 |
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2011 |
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Journal article
Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo.
Textual Query of Personal Photos Facilitated by Large-Scale Web Data.
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IEEE Trans. Pattern Anal. Mach. Intell. 2011, Volume 33 |
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2011 |
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Conference paper
Sinno Jialin Pan, Ivor W. Tsang, James Tin-Yau Kwok, Qiang Yang.
Domain Adaptation via Transfer Component Analysis.
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IEEE Transactions on Neural Networks 2011, Volume 22 |
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2011 |
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Conference paper
William-Chandra Tjhi, Gary Kee Khoon Lee, Terence Hung, Ivor W. Tsang, Yew-Soon Ong, Frederic Bard, Victor Racine.
Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study.
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I. J. Computational Biology and Drug Design 2011, Volume 4 |
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2011 |
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Conference paper
Shutao Li, Mingkui Tan, Ivor W. Tsang, James Tin-Yau Kwok.
A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions.
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IEEE Transactions on Systems, Man, and Cybernetics, Part B 2011, Volume 41 |
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2011 |
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Conference paper
Shenghua Gao, Liang-Tien Chia, Ivor W. Tsang.
Multi-layer group sparse coding - For concurrent image classification and annotation.
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The 24th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011, Colorado Springs, CO, USA, 20-25 June 2011 2011 |
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2011 |
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Conference paper
Feiping Nie, Zinan Zeng, Ivor W. Tsang, Dong Xu, Changshui Zhang.
Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering.
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IEEE Transactions on Neural Networks 2011, Volume 22 |
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2011 |
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Conference paper
Lixin Duan, Wen Li, Ivor W. Tsang, Dong Xu.
Improving Web Image Search by Bag-Based Reranking.
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IEEE Transactions on Image Processing 2011, Volume 20 |
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2011 |
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Journal article
Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi.
Two-Layer Multiple Kernel Learning.
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Journal of Machine Learning Research - Proceedings Track 2011, Volume 15 |
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2011 |
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Journal article
Shukai Li, Ivor W. Tsang.
Learning to Locate Relative Outliers.
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Journal of Machine Learning Research - Proceedings Track 2011, Volume 20 |
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2011 |
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Conference paper
Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi.
A Family of Simple Non-Parametric Kernel Learning Algorithms.
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Journal of Machine Learning Research 2011, Volume 12 |
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2011 |
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Conference paper
Jian-Bo Yang, Ivor W. Tsang.
Hierarchical Maximum Margin Learning for Multi-Class Classification.
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UAI 2011, Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, July 14-17, 2011 2011 |
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2011 |
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Conference paper
Shukai Li, Ivor W. Tsang.
Maximum Margin/Volume Outlier Detection.
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IEEE 23rd International Conference on Tools with Artificial Intelligence, ICTAI 2011, Boca Raton, FL, USA, November 7-9, 2011 2011 |
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2011 |
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Conference paper
Wen Li, Lixin Duan, Dong Xu, Ivor W. Tsang.
Text-based image retrieval using progressive multi-instance learning.
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IEEE International Conference on Computer Vision, ICCV 2011, Barcelona, Spain, November 6-13, 2011 2011 |
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2011 |
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Conference paper
Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong.
Healing Sample Selection Bias by Source Classifier Selection.
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11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011 2011 |
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2011 |
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Conference paper
Qi Mao, Ivor W. Tsang.
Optimizing Performance Measures for Feature Selection.
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11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011 2011 |
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2011 |
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Conference paper
Shukai Li, Ivor W. Tsang, Narendra S. Chaudhari.
Infinite Decision Agent Ensemble Learning System for Credit Risk Analysis.
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10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 1: Main Conference 2011 |
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2011 |
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Conference paper
Shenghua Gao, Ivor W. Tsang, Liang-Tien Chia.
Kernel Sparse Representation for Image Classification and Face Recognition.
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Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part IV 2010 |
(0)
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2010 |
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Conference paper
Shenghua Gao, Zhengxiang Wang, Liang-Tien Chia, Ivor W. Tsang.
Automatic image tagging via category label and web data.
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Proceedings of the 18th International Conference on Multimedia 2010, Firenze, Italy, October 25-29, 2010 2010 |
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2010 |
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Journal article
Leon Wenliang Zhong, Weike Pan, James Tin-Yau Kwok, Ivor W. Tsang.
Incorporating the loss function into discriminative clustering of structured outputs.
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IEEE Transactions on Neural Networks 2010, Volume 21 |
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2010 |
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Journal article
Nan Li, Ivor W. Tsang, Zhi-Hua Zhou.
Efficiently Learning Nonlinear Classifiers for Domain Specific Performance Measures
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CoRR 2010, Volume 0 |
(0)
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2010 |
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Conference paper
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong.
Location and Scatter Matching for Dataset Shift in Text Mining.
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ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010 2010 |
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2010 |
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Conference paper
Feiping Nie, Dong Xu, Ivor W. Tsang, Changshui Zhang.
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction.
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IEEE Transactions on Image Processing 2010, Volume 19 |
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2010 |
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Conference paper
Qi Mao, Ivor W. Tsang.
Parameter-Free Spectral Kernel Learning.
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UAI 2010, Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence, Catalina Island, CA, USA, July 8-11, 2010 2010 |
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2010 |
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Conference paper
Kai Zhang, Ivor W. Tsang, James Tin-Yau Kwok.
Maximum Margin Clustering Made Practical.
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IEEE Transactions on Neural Networks 2009, Volume 20 |
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2009 |
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Journal article
Yu-Feng Li, Ivor W. Tsang, James Tin-Yau Kwok, Zhi-Hua Zhou.
Tighter and Convex Maximum Margin Clustering.
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Journal of Machine Learning Research - Proceedings Track 2009, Volume 5 |
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2009 |
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Conference paper
Lixin Duan, Ivor W. Tsang, Dong Xu, Stephen J. Maybank.
Domain Transfer SVM for video concept detection.
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2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 20-25 June 2009, Miami, Florida, USA 2009 |
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2009 |
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Conference paper
Ivor W. Tsang, András Kocsor, James Tin-Yau Kwok.
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines.
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IEEE Transactions on Neural Networks 2008, Volume 19 |
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2008 |
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Conference paper
James Tin-Yau Kwok, Ivor W. Tsang, Jacek M. Zurada.
A Class of Single-Class Minimax Probability Machines for Novelty Detection.
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IEEE Transactions on Neural Networks 2007, Volume 18 |
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2007 |
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Conference paper
Ivor W. Tsang, James Tin-Yau Kwok.
Efficient hyperkernel learning using second-order cone programming.
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IEEE Transactions on Neural Networks 2006, Volume 17 |
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2006 |
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Conference paper
Ivor W. Tsang, James Tin-Yau Kwok, Jacek M. Zurada.
Generalized Core Vector Machines.
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IEEE Transactions on Neural Networks 2006, Volume 17 |
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2006 |
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Conference paper
Kin Fung Simon Wong, Ivor W. Tsang, Victor Cheung, Shueng-Han Gary Chan, James Tin-Yau Kwok.
Position estimation for wireless sensor networks.
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Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM '05, St. Louis, Missouri, USA, 28 November - 2 December 2005 2005 |
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2005 |
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Journal article
Shutao Li, James Tin-Yau Kwok, Ivor W. Tsang, Yaonan Wang.
Fusing images with different focuses using support vector machines.
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IEEE Transactions on Neural Networks 2004, Volume 15 |
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2004 |
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Journal article
James Tin-Yau Kwok, Ivor W. Tsang.
The pre-image problem in kernel methods.
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IEEE Transactions on Neural Networks 2004, Volume 15 |
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2004 |
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Journal article
James Tin-Yau Kwok, Ivor W. Tsang.
Linear dependency between epsi; and the input noise in epsi;-support vector regression.
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IEEE Transactions on Neural Networks 2003, Volume 14 |
(0)
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2003 |
35/5873