| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Lixin Duan, Ivor W. Tsang, Dong Xu |
Domain Transfer Multiple Kernel Learning.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | Jian-Bo Yang, Ivor W. Tsang |
Hierarchical Maximum Margin Learning for Multi-Class Classification |
CoRR |
2012 |
DBLP BibTeX RDF |
|
| 1 | Qi Mao, Ivor W. Tsang |
Parameter-Free Spectral Kernel Learning |
CoRR |
2012 |
DBLP BibTeX RDF |
|
| 1 | Lixin Duan, Dong Xu, Ivor Wai-Hung Tsang |
Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach. |
IEEE Trans. Neural Netw. Learning Syst. |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo |
Textual Query of Personal Photos Facilitated by Large-Scale Web Data. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang |
Domain Adaptation via Transfer Component Analysis. |
IEEE Transactions on Neural Networks |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | 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. |
IEEE Transactions on Neural Networks |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi |
Two-Layer Multiple Kernel Learning. |
Journal of Machine Learning Research - Proceedings Track |
2011 |
DBLP BibTeX RDF |
|
| 1 | Shukai Li, Ivor W. Tsang |
Learning to Locate Relative Outliers. |
Journal of Machine Learning Research - Proceedings Track |
2011 |
DBLP BibTeX RDF |
|
| 1 | Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi |
A Family of Simple Non-Parametric Kernel Learning Algorithms. |
Journal of Machine Learning Research |
2011 |
DBLP BibTeX RDF |
|
| 1 | Qi Mao, Ivor W. Tsang |
A Feature Selection Method for Multivariate Performance Measures |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Qi Mao, Ivor W. Tsang |
Multiple Template Learning for Structured Prediction |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong |
Transductive Ordinal Regression |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Shutao Li, Mingkui Tan, Ivor W. Tsang, James Tin-Yau Kwok |
A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions. |
IEEE Transactions on Systems, Man, and Cybernetics, Part B |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Jian-Bo Yang, Ivor W. Tsang |
Hierarchical Maximum Margin Learning for Multi-Class Classification. |
UAI |
2011 |
DBLP BibTeX RDF |
|
| 1 | Shukai Li, Ivor W. Tsang |
Maximum Margin/Volume Outlier Detection. |
ICTAI |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | William-Chandra Tjhi, Gary Kee Khoon Lee, Terence Hung, Ivor Wai-Hung Tsang, Yew-Soon Ong, Frederic Bard, Victor Racine |
Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study. |
I. J. Computational Biology and Drug Design |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Lixin Duan, Wen Li, Ivor Wai-Hung Tsang, Dong Xu |
Improving Web Image Search by Bag-Based Reranking. |
IEEE Transactions on Image Processing |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong |
Healing Sample Selection Bias by Source Classifier Selection. |
ICDM |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Qi Mao, Ivor Wai-Hung Tsang |
Optimizing Performance Measures for Feature Selection. |
ICDM |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Wen Li, Lixin Duan, Dong Xu, Ivor Wai-Hung Tsang |
Text-based image retrieval using progressive multi-instance learning. |
ICCV |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang |
Multi-layer group sparse coding - For concurrent image classification and annotation. |
CVPR |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. Tsang |
Incorporating the loss function into discriminative clustering of structured outputs. |
IEEE Transactions on Neural Networks |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Nan Li, Ivor W. Tsang, Zhi-Hua Zhou |
Efficiently Learning Nonlinear Classifiers for Domain Specific Performance Measures |
CoRR |
2010 |
DBLP BibTeX RDF |
|
| 1 | Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong, Gary Kee Khoon Lee |
Predictive Distribution Matching SVM for Multi-domain Learning. |
ECML/PKDD |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong |
Location and Scatter Matching for Dataset Shift in Text Mining. |
ICDM |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Mingkui Tan, Li Wang, Ivor W. Tsang |
Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets. |
ICML |
2010 |
DBLP BibTeX RDF |
|
| 1 | Qi Mao, Ivor W. Tsang |
Parameter-Free Spectral Kernel Learning. |
UAI |
2010 |
DBLP BibTeX RDF |
|
| 1 | Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changshui Zhang |
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction. |
IEEE Transactions on Image Processing |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia |
Kernel Sparse Representation for Image Classification and Face Recognition. |
ECCV |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Lixin Duan, Dong Xu, Ivor Wai-Hung Tsang, Jiebo Luo |
Visual event recognition in videos by learning from web data. |
CVPR |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia, Peilin Zhao |
Local features are not lonely - Laplacian sparse coding for image classification. |
CVPR |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Lin Chen, Dong Xu, Ivor Wai-Hung Tsang, Jiebo Luo |
Tag-based web photo retrieval improved by batch mode re-tagging. |
CVPR |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Shenghua Gao, Zhengxiang Wang, Liang-Tien Chia, Ivor Wai-Hung Tsang |
Automatic image tagging via category label and web data. |
ACM Multimedia |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Zhang, Ivor W. Tsang, James T. Kwok |
Maximum Margin Clustering Made Practical. |
IEEE Transactions on Neural Networks |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Yu-Feng Li, Ivor W. Tsang, James Tin-Yau Kwok, Zhi-Hua Zhou |
Tighter and Convex Maximum Margin Clustering. |
Journal of Machine Learning Research - Proceedings Track |
2009 |
DBLP BibTeX RDF |
|
| 1 | Brian Kan-Wing Mak, Tsz-Chung Lai, Ivor W. Tsang, James Tin-Yau Kwok |
Maximum Penalized Likelihood Kernel Regression for Fast Adaptation. |
IEEE Transactions on Audio, Speech & Language Processing |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Yu-Feng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua Zhou |
A Convex Method for Locating Regions of Interest with Multi-instance Learning. |
ECML/PKDD |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang |
Domain Adaptation via Transfer Component Analysis. |
IJCAI |
2009 |
DBLP BibTeX RDF |
|
| 1 | Feiping Nie, Dong Xu, Ivor W. Tsang, Changshui Zhang |
Spectral Embedded Clustering. |
IJCAI |
2009 |
DBLP BibTeX RDF |
|
| 1 | Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong |
A Semi-Supervised Framework for Feature Mapping and Multiclass Classification. |
SDM |
2009 |
DBLP BibTeX RDF |
|
| 1 | Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi |
SimpleNPKL: simple non-parametric kernel learning. |
ICML |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Lixin Duan, Ivor W. Tsang, Dong Xu, Tat-Seng Chua |
Domain adaptation from multiple sources via auxiliary classifiers. |
ICML |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo |
T-IRS: textual query based image retrieval system for consumer photos. |
ACM Multimedia |
2009 |
DBLP DOI BibTeX RDF |
cross domain learning, text based photo retrieval |
| 1 | Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo |
Using large-scale web data to facilitate textual query based retrieval of consumer photos. |
ACM Multimedia |
2009 |
DBLP DOI BibTeX RDF |
cross domain learning, large-scale web data, textual query based consumer photo retrieval |
| 1 | Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong |
Extracting discriminative concepts for domain adaptation in text mining. |
KDD |
2009 |
DBLP DOI BibTeX RDF |
feature extraction, text mining, domain adaptation |
| 1 | Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu, Stephen J. Maybank |
Domain Transfer SVM for video concept detection. |
CVPR |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Zhang, Ivor W. Tsang, James T. Kwok |
Improved Nyström low-rank approximation and error analysis. |
ICML |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Ivor Wai-Hung Tsang, András Kocsor, James Tin-Yau Kwok |
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines. |
IEEE Transactions on Neural Networks |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Jooyoung Park, Daesung Kang, Jongho Kim, James T. Kwok, Ivor W. Tsang |
SVDD-Based Pattern Denoising. |
Neural Computation |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Ivor W. Tsang, James T. Kwok |
Ensembles of Partially Trained SVMs with Multiplicative Updates. |
IJCAI |
2007 |
DBLP BibTeX RDF |
|
| 1 | Kai Zhang, Ivor W. Tsang, James T. Kwok |
Maximum margin clustering made practical. |
ICML |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Ivor W. Tsang, András Kocsor, James T. Kwok |
Simpler core vector machines with enclosing balls. |
ICML |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | James T. Kwok, Ivor Wai-Hung Tsang, Jacek M. Zurada |
A Class of Single-Class Minimax Probability Machines for Novelty Detection. |
IEEE Transactions on Neural Networks |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Ivor W. Tsang, András Kocsor, James T. Kwok |
Diversified SVM Ensembles for Large Data Sets. |
ECML |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Ivor W. Tsang, James T. Kwok, Shutao Li |
Learning the Kernel in Mahalanobis One-Class Support Vector Machines. |
IJCNN |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Ivor W. Tsang, James T. Kwok |
Large-Scale Sparsified Manifold Regularization. |
NIPS |
2006 |
DBLP BibTeX RDF |
|
| 1 | Ivor W. Tsang, András Kocsor, James T. Kwok |
Efficient kernel feature extraction for massive data sets. |
KDD |
2006 |
DBLP DOI BibTeX RDF |
kernel feature, SVM, scalability, extraction |
| 1 | Ivor Wai-Hung Tsang, James Tin-Yau Kwok |
Efficient hyperkernel learning using second-order cone programming. |
IEEE Transactions on Neural Networks |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Ivor Wai-Hung Tsang, James Tin-Yau Kwok, Jacek M. Zurada |
Generalized Core Vector Machines. |
IEEE Transactions on Neural Networks |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Ivor W. Tsang, James T. Kwok, Pak-Ming Cheung |
Core Vector Machines: Fast SVM Training on Very Large Data Sets. |
Journal of Machine Learning Research |
2005 |
DBLP BibTeX RDF |
|
| 1 | Ivor W. Tsang, James T. Kwok, Kimo T. Lai |
Core Vector Regression for very large regression problems. |
ICML |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Ivor W. Tsang, James T. Kwok |
Efficient Hyperkernel Learning Using Second-Order Cone Programming. |
ECML |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Shutao Li, James Tin-Yau Kwok, Ivor Wai-Hung Tsang, Yaonan Wang |
Fusing images with different focuses using support vector machines. |
IEEE Transactions on Neural Networks |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | James Tin-Yau Kwok, Ivor Wai-Hung Tsang |
The pre-image problem in kernel methods. |
IEEE Transactions on Neural Networks |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | James T. Kwok, Ivor W. Tsang |
Linear dependency between ε and the input noise in ε-support vector regression. |
IEEE Transactions on Neural Networks |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | James T. Kwok, Ivor W. Tsang |
The Pre-Image Problem in Kernel Methods. |
ICML |
2003 |
DBLP BibTeX RDF |
|
| 1 | James T. Kwok, Ivor W. Tsang |
Learning with Idealized Kernels. |
ICML |
2003 |
DBLP BibTeX RDF |
|
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