Ivor Wai-Hung Tsang

44 papers A* 13B 3Journal 24Unranked 4

Year	Rank	Type	Title / Venue / Authors
2019	J	`jnl`	Domain Adaption via Feature Selection on Explicit Feature Map. IEEE Trans. Neural Networks Learn. Syst. Wan-Yu Deng, Amaury Lendasse, Yew-Soon Ong, Ivor Wai-Hung Tsang, Lin Chen, Qing-Hua Zheng
2017	J	`jnl`	Incremental Subgraph Feature Selection for Graph Classification. IEEE Trans. Knowl. Data Eng. Haishuai Wang, Peng Zhang, Xingquan Zhu, Ivor Wai-Hung Tsang, Ling Chen, Chengqi Zhang, Xindong Wu
2017	J	`jnl`	Multi-instance dictionary learning via multivariate performance measure optimization. Pattern Recognit. Jim Jing-Yan Wang, Ivor Wai-Hung Tsang, Xuefeng Cui, Zhiwu Lu, Xin Gao
2016	A*	`conf`	Optimizing Multivariate Performance Measures from Multi-View Data. AAAI Jim Jing-Yan Wang, Ivor Wai-Hung Tsang, Xin Gao
2014	J	`jnl`	Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding. IEEE Trans. Multim. Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang, Zhixiang Ren
2014	—	`conf`	Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis. ECCV (4) Ping Liu, Joey Tianyi Zhou, Ivor Wai-Hung Tsang, Zibo Meng, Shizhong Han, Yan Tong
2014	J	`jnl`	Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization. IEEE Trans. Image Process. Shenghua Gao, Ivor Wai-Hung Tsang, Yi Ma
2014	J	`jnl`	Region-Based Saliency Detection and Its Application in Object Recognition. IEEE Trans. Circuits Syst. Video Technol. Zhixiang Ren, Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang
2014	J	`jnl`	Spectral Embedded Hashing for Scalable Image Retrieval. IEEE Trans. Cybern. Lin Chen, Dong Xu, Ivor Wai-Hung Tsang, Xuelong Li
2013	J	`jnl`	A Feature Selection Method for Multivariate Performance Measures. IEEE Trans. Pattern Anal. Mach. Intell. Qi Mao, Ivor Wai-Hung Tsang
2013	J	`jnl`	Efficient Multitemplate Learning for Structured Prediction. IEEE Trans. Neural Networks Learn. Syst. Qi Mao, Ivor Wai-Hung Tsang
2013	J	`jnl`	Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia
2013	J	`jnl`	Objective-Guided Image Annotation. IEEE Trans. Image Process. Qi Mao, Ivor Wai-Hung Tsang, Shenghua Gao
2013	J	`jnl`	Sparse Representation With Kernels. IEEE Trans. Image Process. Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia
2012	B	`conf`	An evolutionary search paradigm that learns with past experiences. IEEE Congress on Evolutionary Computation Liang Feng, Yew-Soon Ong, Ivor Wai-Hung Tsang, Ah-Hwee Tan
2012	A*	`conf`	Batch mode Adaptive Multiple Instance Learning for computer vision tasks. CVPR Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
2012	A*	`conf`	Co-labeling: A New Multi-view Learning Approach for Ambiguous Problems. ICDM Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
2012	J	`jnl`	Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach. IEEE Trans. Neural Networks Learn. Syst. Lixin Duan, Dong Xu, Ivor Wai-Hung Tsang
2012	—	`conf`	Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach. EMNLP-CoNLL Jian-Bo Yang, Qi Mao, Qiaoliang Xiang, Ivor Wai-Hung Tsang, Kian Ming Adam Chai, Hai Leong Chieu
2012	A*	`conf`	Learning Target Predictive Function without Target Labels. ICDM Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong, Qi Mao
2012	J	`jnl`	Meme as Building Block for Evolutionary Optimization of Problem Instances CoRR Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor Wai-Hung Tsang
2012	J	`jnl`	Visual Event Recognition in Videos by Learning from Web Data. IEEE Trans. Pattern Anal. Mach. Intell. Lixin Duan, Dong Xu, Ivor Wai-Hung Tsang, Jiebo Luo
2011	J	`jnl`	Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study. Int. J. Comput. Biol. Drug Des. William-Chandra Tjhi, Gary Kee Khoon Lee, Terence Hung, Ivor Wai-Hung Tsang, Yew-Soon Ong, Frédéric Bard, Victor Racine
2011	A*	`conf`	Healing Sample Selection Bias by Source Classifier Selection. ICDM Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong
2011	J	`jnl`	Improving Web Image Search by Bag-Based Reranking. IEEE Trans. Image Process. Lixin Duan, Wen Li, Ivor Wai-Hung Tsang, Dong Xu
2011	A*	`conf`	Multi-layer group sparse coding - For concurrent image classification and annotation. CVPR Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang
2011	A*	`conf`	Optimizing Performance Measures for Feature Selection. ICDM Qi Mao, Ivor Wai-Hung Tsang
2011	A*	`conf`	Text-based image retrieval using progressive multi-instance learning. ICCV Wen Li, Lixin Duan, Dong Xu, Ivor Wai-Hung Tsang
2010	A*	`conf`	Automatic image tagging via category label and web data. ACM Multimedia Shenghua Gao, Zhengxiang Wang, Liang-Tien Chia, Ivor Wai-Hung Tsang
2010	—	`conf`	Clustering-based methodology with minimal user supervision for displaying cell-phenotype signatures in image-based screening. BIBM Workshops William-Chandra Tjhi, Gary Kee Khoon Lee, Terence Hung, Yew-Soon Ong, Ivor Wai-Hung Tsang, Victor Racine, Frédéric Bard
2010	J	`jnl`	Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction. IEEE Trans. Image Process. Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changshui Zhang
2010	—	`conf`	Kernel Sparse Representation for Image Classification and Face Recognition. ECCV (4) Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia
2010	A*	`conf`	Local features are not lonely - Laplacian sparse coding for image classification. CVPR Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia, Peilin Zhao
2010	A*	`conf`	Tag-based web photo retrieval improved by batch mode re-tagging. CVPR Lin Chen, Dong Xu, Ivor Wai-Hung Tsang, Jiebo Luo
2010	A*	`conf`	Visual event recognition in videos by learning from web data. CVPR Lixin Duan, Dong Xu, Ivor Wai-Hung Tsang, Jiebo Luo
2009	A*	`conf`	Domain Transfer SVM for video concept detection. CVPR Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu, Stephen J. Maybank
2008	J	`jnl`	Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines. IEEE Trans. Neural Networks Ivor Wai-Hung Tsang, András Kocsor, James Tin-Yau Kwok
2007	J	`jnl`	A Class of Single-Class Minimax Probability Machines for Novelty Detection. IEEE Trans. Neural Networks James T. Kwok, Ivor Wai-Hung Tsang, Jacek M. Zurada
2006	J	`jnl`	Efficient hyperkernel learning using second-order cone programming. IEEE Trans. Neural Networks Ivor Wai-Hung Tsang, James Tin-Yau Kwok
2006	J	`jnl`	Generalized Core Vector Machines. IEEE Trans. Neural Networks Ivor Wai-Hung Tsang, James Tin-Yau Kwok, Jacek M. Zurada
2005	B	`conf`	Kernel relevant component analysis for distance metric learning. IJCNN Ivor Wai-Hung Tsang, Pak-Ming Cheung, James Tin-Yau Kwok
2005	B	`conf`	Pattern de-noising based on support vector data description. IJCNN Jooyoung Park, Daesung Kang, Jongho Kim, James Tin-Yau Kwok, Ivor Wai-Hung Tsang
2004	J	`jnl`	Fusing images with different focuses using support vector machines. IEEE Trans. Neural Networks Shutao Li, James Tin-Yau Kwok, Ivor Wai-Hung Tsang, Yaonan Wang
2004	J	`jnl`	The pre-image problem in kernel methods. IEEE Trans. Neural Networks James Tin-Yau Kwok, Ivor Wai-Hung Tsang