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All publications by Ivor W. Tsang
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Riemannian Pursuit for Big Matrix Recovery
Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken and Sinno J. Pan
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Discovering Support and Affiliated Features from Very High Dimensions
Yiteng Zhai, Mingkui Tan, Yew S. Ong and Ivor W. Tsang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Split-Merge Framework for Comparing Clusterings
Qiaoliang Xiang, Qi Mao, Kian M. Chai, Hai L. Chieu, Zhenddong Zhao and Ivor W. Tsang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning with Augmented Features for Heterogeneous Domain Adaptation
Lixin Duan, Dong Xu and Ivor W. Tsang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Two-Layer Multiple Kernel Learning
Jinfeng Zhuang, Ivor W. Tsang and Steven Hoi
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets
Mingkui Tan, Li Wang and Ivor W. Tsang
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


SimpleNPKL: simple non-parametric kernel learning
Jinfeng Zhuang, Ivor W. Tsang and Steven C. Hoi
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Domain adaptation from multiple sources via auxiliary classifiers
Lixin Duan, Ivor W. Tsang, Dong Xu and Tat-seng Chua
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Tighter and Convex Maximum Margin Clustering
Yu-feng Li, Ivor W. Tsang, James T. Kwok and Zhi-hua Zhou
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Improved Nystr{\&}ouml;m low-rank approximation and error analysis
Kai Zhang, Ivor W. Tsang and James T. Kwok
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Maximum margin clustering made practical
Kai Zhang, Ivor W. Tsang and James T. Kwok
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Simpler core vector machines with enclosing balls
Ivor W. Tsang, AndrĂ¡s Kocsor and James T. Kwok
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Large-Scale Sparsified Manifold Regularization
Ivor W. Tsang and James T. Kwok
Advances in Neural Information Processing Systems 19, 2006


Core Vector Regression for very large regression problems
Ivor W. Tsang, James T. Kwok and Kimo T. Lai
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Core Vector Machines: Fast SVM Training on Very Large Data Sets
Ivor W. Tsang, James T. Kwok and Pak-ming Cheung
Journal of Machine Learning Research, 2005


The Pre-Image Problem in Kernel Methods
James T. Kwok and Ivor W. Tsang
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Learning with Idealized Kernels
James T. Kwok and Ivor W. Tsang
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003