Ivor Wai-Hung Tsang

Publication Activity (10 Years)

Years Active: 2004-2019
Publications (10 Years): 4

Top Topics

Image Categorization

Coreference Resolution

Graph Classification

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Image Process.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Wan-Yu Deng, Amaury Lendasse, Yew-Soon Ong, Ivor Wai-Hung Tsang, Lin Chen, Qing-Hua Zheng
Domain Adaption via Feature Selection on Explicit Feature Map. IEEE Trans. Neural Networks Learn. Syst. 30 (4) (2019)
Jim Jing-Yan Wang, Ivor Wai-Hung Tsang, Xuefeng Cui, Zhiwu Lu, Xin Gao
Multi-instance dictionary learning via multivariate performance measure optimization. Pattern Recognit. 66 (2017)
Haishuai Wang, Peng Zhang, Xingquan Zhu, Ivor Wai-Hung Tsang, Ling Chen, Chengqi Zhang, Xindong Wu
Incremental Subgraph Feature Selection for Graph Classification. IEEE Trans. Knowl. Data Eng. 29 (1) (2017)
Jim Jing-Yan Wang, Ivor Wai-Hung Tsang, Xin Gao
Optimizing Multivariate Performance Measures from Multi-View Data. AAAI (2016)
Zhixiang Ren, Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang
Region-Based Saliency Detection and Its Application in Object Recognition. IEEE Trans. Circuits Syst. Video Technol. 24 (5) (2014)
Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang, Zhixiang Ren
Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding. IEEE Trans. Multim. 16 (3) (2014)
Ping Liu, Joey Tianyi Zhou, Ivor Wai-Hung Tsang, Zibo Meng, Shizhong Han, Yan Tong
Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis. ECCV (4) (2014)
Lin Chen, Dong Xu, Ivor Wai-Hung Tsang, Xuelong Li
Spectral Embedded Hashing for Scalable Image Retrieval. IEEE Trans. Cybern. 44 (7) (2014)
Shenghua Gao, Ivor Wai-Hung Tsang, Yi Ma
Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization. IEEE Trans. Image Process. 23 (2) (2014)
Qi Mao, Ivor Wai-Hung Tsang
A Feature Selection Method for Multivariate Performance Measures. IEEE Trans. Pattern Anal. Mach. Intell. 35 (9) (2013)
Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia
Sparse Representation With Kernels. IEEE Trans. Image Process. 22 (2) (2013)
Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia
Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 35 (1) (2013)
Qi Mao, Ivor Wai-Hung Tsang
Efficient Multitemplate Learning for Structured Prediction. IEEE Trans. Neural Networks Learn. Syst. 24 (2) (2013)
Qi Mao, Ivor Wai-Hung Tsang, Shenghua Gao
Objective-Guided Image Annotation. IEEE Trans. Image Process. 22 (4) (2013)
Lixin Duan, Dong Xu, Ivor Wai-Hung Tsang
Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach. IEEE Trans. Neural Networks Learn. Syst. 23 (3) (2012)
Lixin Duan, Dong Xu, Ivor Wai-Hung Tsang, Jiebo Luo
Visual Event Recognition in Videos by Learning from Web Data. IEEE Trans. Pattern Anal. Mach. Intell. 34 (9) (2012)
Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong, Qi Mao
Learning Target Predictive Function without Target Labels. ICDM (2012)
Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor Wai-Hung Tsang
Meme as Building Block for Evolutionary Optimization of Problem Instances CoRR (2012)
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
Batch mode Adaptive Multiple Instance Learning for computer vision tasks. CVPR (2012)
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
Co-labeling: A New Multi-view Learning Approach for Ambiguous Problems. ICDM (2012)
Jian-Bo Yang, Qi Mao, Qiaoliang Xiang, Ivor Wai-Hung Tsang, Kian Ming Adam Chai, Hai Leong Chieu
Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach. EMNLP-CoNLL (2012)
Liang Feng, Yew-Soon Ong, Ivor Wai-Hung Tsang, Ah-Hwee Tan
An evolutionary search paradigm that learns with past experiences. IEEE Congress on Evolutionary Computation (2012)
Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong
Healing Sample Selection Bias by Source Classifier Selection. ICDM (2011)
Lixin Duan, Wen Li, Ivor Wai-Hung Tsang, Dong Xu
Improving Web Image Search by Bag-Based Reranking. IEEE Trans. Image Process. 20 (11) (2011)
William-Chandra Tjhi, Gary Kee Khoon Lee, Terence Hung, Ivor Wai-Hung Tsang, Yew-Soon Ong, Frédéric Bard, Victor Racine
Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study. Int. J. Comput. Biol. Drug Des. 4 (2) (2011)
Qi Mao, Ivor Wai-Hung Tsang
Optimizing Performance Measures for Feature Selection. ICDM (2011)
Wen Li, Lixin Duan, Dong Xu, Ivor Wai-Hung Tsang
Text-based image retrieval using progressive multi-instance learning. ICCV (2011)
Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang
Multi-layer group sparse coding - For concurrent image classification and annotation. CVPR (2011)
William-Chandra Tjhi, Gary Kee Khoon Lee, Terence Hung, Yew-Soon Ong, Ivor Wai-Hung Tsang, Victor Racine, Frédéric Bard
Clustering-based methodology with minimal user supervision for displaying cell-phenotype signatures in image-based screening. BIBM Workshops (2010)
Shenghua Gao, Zhengxiang Wang, Liang-Tien Chia, Ivor Wai-Hung Tsang
Automatic image tagging via category label and web data. ACM Multimedia (2010)
Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia
Kernel Sparse Representation for Image Classification and Face Recognition. ECCV (4) (2010)
Lin Chen, Dong Xu, Ivor Wai-Hung Tsang, Jiebo Luo
Tag-based web photo retrieval improved by batch mode re-tagging. CVPR (2010)
Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia, Peilin Zhao
Local features are not lonely - Laplacian sparse coding for image classification. CVPR (2010)
Lixin Duan, Dong Xu, Ivor Wai-Hung Tsang, Jiebo Luo
Visual event recognition in videos by learning from web data. CVPR (2010)
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changshui Zhang
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction. IEEE Trans. Image Process. 19 (7) (2010)
Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu, Stephen J. Maybank
Domain Transfer SVM for video concept detection. CVPR (2009)
Ivor Wai-Hung Tsang, András Kocsor, James Tin-Yau Kwok
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines. IEEE Trans. Neural Networks 19 (4) (2008)
James T. Kwok, Ivor Wai-Hung Tsang, Jacek M. Zurada
A Class of Single-Class Minimax Probability Machines for Novelty Detection. IEEE Trans. Neural Networks 18 (3) (2007)
Ivor Wai-Hung Tsang, James Tin-Yau Kwok, Jacek M. Zurada
Generalized Core Vector Machines. IEEE Trans. Neural Networks 17 (5) (2006)
Ivor Wai-Hung Tsang, James Tin-Yau Kwok
Efficient hyperkernel learning using second-order cone programming. IEEE Trans. Neural Networks 17 (1) (2006)
Shutao Li, James Tin-Yau Kwok, Ivor Wai-Hung Tsang, Yaonan Wang
Fusing images with different focuses using support vector machines. IEEE Trans. Neural Networks 15 (6) (2004)
James Tin-Yau Kwok, Ivor Wai-Hung Tsang
The pre-image problem in kernel methods. IEEE Trans. Neural Networks 15 (6) (2004)