| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Jian-Hua Zhao, Philip L. H. Yu, James T. Kwok |
Bilinear Probabilistic Principal Component Analysis.  |
IEEE Trans. Neural Netw. Learning Syst.  |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Liqing Zhang, James Tin-Yau Kwok, Changshui Zhang |
A brief introduction to the special issue for ISNN2010. |
Neurocomputing |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Wen-Yun Yang, Bao-Liang Lu, James T. Kwok |
Incorporating cellular sorting structure for better prediction of protein subcellular locations. |
J. Exp. Theor. Artif. 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 | Bao-Liang Lu, Liqing Zhang, James T. Kwok (eds.) |
Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part III |
ICONIP |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Bao-Liang Lu, Liqing Zhang, James T. Kwok (eds.) |
Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part I |
ICONIP |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Bao-Liang Lu, Liqing Zhang, James T. Kwok (eds.) |
Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part II |
ICONIP |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Wei Bi, James T. Kwok |
MultiLabel Classification on Tree- and DAG-Structured Hierarchies. |
ICML |
2011 |
DBLP BibTeX RDF |
|
| 1 | Wenliang Zhong, James T. Kwok |
Efficient Sparse Modeling with Automatic Feature Grouping. |
ICML |
2011 |
DBLP BibTeX RDF |
|
| 1 | Mu Li, Xiao-Chen Lian, James T. Kwok, Bao-Liang Lu |
Time and space efficient spectral clustering via column sampling. |
CVPR |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Weike Pan, James T. Kwok |
Structured clustering with automatic kernel adaptation. |
IJCNN |
2011 |
DBLP DOI 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 | 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 | Kai Zhang, James T. Kwok |
Clustered Nyström method for large scale manifold learning and dimension reduction. |
IEEE Transactions on Neural Networks |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Zhang, James T. Kwok |
Simplifying mixture models through function approximation. |
IEEE Transactions on Neural Networks |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Yan-xia Jin, Kai Zhang, James T. Kwok, Han-chang Zhou |
Fast and accurate kernel density approximation using a divide-and-conquer approach. |
Journal of Zhejiang University - Science C |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Wen-Yun Yang, James T. Kwok, Bao-Liang Lu |
Spectral and Semidefinite Relaxation of the CLUHSIC Algorithm. |
SDM |
2010 |
DBLP BibTeX RDF |
|
| 1 | Mu Li, James T. Kwok, Bao-Liang Lu |
Making Large-Scale Nyström Approximation Possible. |
ICML |
2010 |
DBLP BibTeX RDF |
|
| 1 | Mu Li, James T. Kwok, Bao-Liang Lu |
Online multiple instance learning with no regret. |
CVPR |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Chonghai Hu, James T. Kwok |
Manifold regularization for structured outputs via the joint kernel. |
IJCNN |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou |
Cost-Sensitive Semi-Supervised Support Vector Machine. |
AAAI |
2010 |
DBLP BibTeX RDF |
|
| 1 | Ming Zhao, Shutao Li, James Tin-Yau Kwok |
Text detection in images using sparse representation with discriminative dictionaries. |
Image Vision Comput. |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Liqing Zhang, Bao-Liang Lu, James Tin-Yau Kwok (eds.) |
Advances in Neural Networks - ISNN 2010, 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part II |
ISNN |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Liqing Zhang, Bao-Liang Lu, James Tin-Yau Kwok (eds.) |
Advances in Neural Networks - ISNN 2010, 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part I |
ISNN |
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 | Kai Zhang, James T. Kwok |
Density-Weighted Nyström Method for Computing Large Kernel Eigensystems. |
Neural Computation |
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 | Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbonell |
Accelerated Gradient Method for Multi-task Sparse Learning Problem. |
ICDM |
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 | Bin Zhao, James T. Kwok, Changshui Zhang |
Multiple Kernel Clustering. |
SDM |
2009 |
DBLP BibTeX RDF |
|
| 1 | Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou |
Semi-supervised learning using label mean. |
ICML |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Zhang, James T. Kwok, Bahram Parvin |
Prototype vector machine for large scale semi-supervised learning. |
ICML |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Chonghai Hu, James T. Kwok, Weike Pan |
Accelerated Gradient Methods for Stochastic Optimization and Online Learning. |
NIPS |
2009 |
DBLP BibTeX RDF |
|
| 1 | Mingqing Hu, Yiqiang Chen, James Tin-Yau Kwok |
Building Sparse Multiple-Kernel SVM Classifiers. |
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 | Bin Zhao, James Tin-Yau Kwok, Changshui Zhang |
Maximum Margin Clustering with Multivariate Loss Function. |
ICDM |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Bin Zhao, James Tin-Yau Kwok, Fei Wang 0001, Changshui Zhang |
Unsupervised Maximum Margin Feature Selection with manifold regularization. |
CVPR |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Xianchao Xie, Shuicheng Yan, James T. Kwok, Thomas S. Huang |
Matrix-Variate Factor Analysis and Its Applications. |
IEEE Transactions on Neural Networks |
2008 |
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 | Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. Kwok |
Transferring Localization Models across Space. |
AAAI |
2008 |
DBLP BibTeX RDF |
|
| 1 | Sinno Jialin Pan, James T. Kwok, Qiang Yang |
Transfer Learning via Dimensionality Reduction. |
AAAI |
2008 |
DBLP 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 | Niels da Vitoria Lobo, Takis Kasparis, Fabio Roli, James Tin-Yau Kwok, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Marco Loog (eds.) |
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings |
SSPR/SPR |
2008 |
DBLP BibTeX RDF |
|
| 1 | Patrick C. K. Hung, Dickson K. W. Chiu, W. W. Fung, William K. Cheung, Raymond K. Wong, Samuel P. M. Choi, Eleanna Kafeza, James T. Kwok, Joshua C. C. Pun, Vivying S. Y. Cheng |
End-to-end privacy control in service outsourcing of human intensive processes: A multi-layered Web service integration approach. |
Information Systems Frontiers |
2007 |
DBLP DOI BibTeX RDF |
Web service integration, Need-to-know principle, APPEL, SLA, Privacy policies, P3P, Layered architecture |
| 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 | Zhihua Zhang, James T. Kwok, Dit-Yan Yeung |
Surrogate maximization/minimization algorithms and extensions. |
Machine Learning |
2007 |
DBLP DOI BibTeX RDF |
Surrogate function, Logistic regression, AdaBoost, Convexity, Log-linear model |
| 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 | Fei Wang 0001, Jingdong Wang, Changshui Zhang, James T. Kwok |
Face recognition using spectral features. |
Pattern Recognition |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | James T. Kwok, Pak-Ming Cheung |
Marginalized Multi-Instance Kernels. |
IJCAI |
2007 |
DBLP 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 | Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffrey Junfeng Pan |
Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning. |
AAAI |
2007 |
DBLP BibTeX RDF |
|
| 1 | Jeffrey Junfeng Pan, James T. Kwok, Qiang Yang, Yiqiang Chen |
Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing. |
IEEE Trans. Knowl. Data Eng. |
2006 |
DBLP DOI BibTeX RDF |
pervasive computing, Location-dependent and sensitive, correlation and regression analysis |
| 1 | Zhihua Zhang, James T. Kwok, Dit-Yan Yeung |
Model-based transductive learning of the kernel matrix. |
Machine Learning |
2006 |
DBLP DOI BibTeX RDF |
Wishart process, Semi-supervised learning, EM algorithm, Bayesian inference, MAP estimation, Transductive learning, Kernel learning |
| 1 | Brian Kan-Wing Mak, Roger Wend-Huu Hsiao, Simon Ka-Lung Ho, James T. Kwok |
Embedded kernel eigenvoice speaker adaptation and its implication to reference speaker weighting. |
IEEE Transactions on Audio, Speech & Language Processing |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Shutao Li, Jinglin Peng, James T. Kwok, Jing Zhang |
Multimodal Registration using the Discrete Wavelet Frame Transform. |
ICPR |
2006 |
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 | Shutao Li, Chen Liao, James T. Kwok |
Gene Feature Extraction Using T-Test Statistics and Kernel Partial Least Squares. |
ICONIP |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Dit-Yan Yeung, James T. Kwok, Ana L. N. Fred, Fabio Roli, Dick de Ridder (eds.) |
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006, Proceedings |
SSPR/SPR |
2006 |
DBLP BibTeX RDF |
|
| 1 | Kai Zhang, James T. Kwok, Ming Tang |
Accelerated Convergence Using Dynamic Mean Shift. |
ECCV |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Pak-Ming Cheung, James T. Kwok |
A regularization framework for multiple-instance learning. |
ICML |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Zhang, James T. Kwok |
Block-quantized kernel matrix for fast spectral embedding. |
ICML |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwok |
Locally adaptive classification piloted by uncertainty. |
ICML |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Jooyoung Park, Daesung Kang, James T. Kwok, Sang-Woong Lee, Bon-Woo Hwang, Seong-Whan Lee |
Facial Image Reconstruction by SVDD-Based Pattern De-noising. |
ICB |
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 | Shutao Li, Chen Liao, James T. Kwok |
Wavelet-Based Feature Extraction for Microarray Data Classification. |
IJCNN |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Ken Chen, Bao-Liang Lu, James T. Kwok |
Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers. |
IJCNN |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Ivor W. Tsang, James T. Kwok |
Large-Scale Sparsified Manifold Regularization. |
NIPS |
2006 |
DBLP BibTeX RDF |
|
| 1 | Kai Zhang, James T. Kwok |
Simplifying Mixture Models through Function Approximation. |
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 | Jeffrey Junfeng Pan, James T. Kwok, Qiang Yang, Yiqiang Chen |
Accurate and Low-cost Location Estimation Using Kernels. |
IJCAI |
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 | Kai Zhang, Ming Tang, James T. Kwok |
Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation. |
CVPR |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Patrick C. K. Hung, Dickson K. W. Chiu, W. W. Fung, William K. Cheung, Raymond K. Wong, Samuel P. M. Choi, Eleanna Kafeza, James T. Kwok, Joshua C. C. Pun, Vivying S. Y. Cheng |
Towards end-to-end privacy control in the outsourcing of marketing activities: a web service integration solution. |
ICEC |
2005 |
DBLP DOI BibTeX RDF |
Web service integration, need-to-know principle, OWL, SOAP, WSDL, privacy policies, UDDI, EPAL |
| 1 | Brian Mak, James Tin-Yau Kwok, Simon Ka-Lung Ho |
Kernel Eigenvoice Speaker Adaptation. |
IEEE Transactions on Speech and Audio Processing |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Victor Cheng, Chun Hung Li, James T. Kwok, Chi-Kwong Li |
Dissimilarity learning for nominal data. |
Pattern Recognition |
2004 |
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 | Haitao Zhao, Pong Chi Yuen, James T. Kwok, Jingyu Yang |
Incremental PCA based face recognition. |
ICARCV |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhihua Zhang, Dit-Yan Yeung, James T. Kwok |
Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm. |
ICML |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhihua Zhang, James T. Kwok, Dit-Yan Yeung |
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. |
ICML |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Brian Mak, Simon Ho, James T. Kwok |
Speedup of kernel eigenvoice speaker adaptation by embedded kernel PCA. |
INTERSPEECH |
2004 |
DBLP BibTeX RDF |
|
| 1 | Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan Yeung |
Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo. |
AAAI |
2004 |
DBLP 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 | Kwok-Wai Cheung, James T. Kwok, Martin H. C. Law, Kwok Ching Tsui |
Mining customer product ratings for personalized marketing. |
Decision Support Systems |
2003 |
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 | Shutao Li, James T. Kwok, Hailong Zhu, Yaonan Wang |
Texture classification using the support vector machines. |
Pattern Recognition |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhihua Zhang, James T. Kwok, Dit-Yan Yeung |
Parametric Distance Metric Learning with Label Information. |
IJCAI |
2003 |
DBLP 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 |
|
| 1 | James T. Kwok, Brian Mak, Simon Ho |
Eigenvoice Speaker Adaptation via Composite Kernel PCA. |
NIPS |
2003 |
DBLP BibTeX RDF |
|
| 1 | Shutao Li, James T. Kwok, Yaonan Wang |
Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images. |
Information Fusion |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Shutao Li, James T. Kwok, Yaonan Wang |
Multifocus image fusion using artificial neural networks. |
Pattern Recognition Letters |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Hailong Zhu, James T. Kwok, Liangsheng Qu |
Improving De-Noising by Coefficient De-Noising and Dyadic Wavelet Transform. |
ICPR |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Shutao Li, James T. Kwok, Yaonan Wang |
Fusing Images with Multiple Focuses Using Support Vector Machines. |
ICANN |
2002 |
DBLP DOI BibTeX RDF |
|
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