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James T. Kwok: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Patrick C. K. Hung, Dickson K. W. Chiu, W. W. Fung, William K. Cheung, Raymond Wong, Samuel P. M. Choi, Eleanna Kafeza, James T. Kwok, Jousha C. C. Pun, Vivying S. Y. Cheng
    Towards end-to-end privacy control in the outsourcing of marketing activities: a web service integration solution. [Citation Graph (0, 0)][DBLP]
    ICEC, 2005, pp:454-461 [Conf]
  2. Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan Yeung
    Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:372-377 [Conf]
  3. Kai Zhang, Ming Tang, James T. Kwok
    Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:1001-1007 [Conf]
  4. Kai Zhang, James T. Kwok, Ming Tang
    Accelerated Convergence Using Dynamic Mean Shift. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 2006, pp:257-268 [Conf]
  5. Martin H. C. Law, James T. Kwok
    Applying the Bayesian Evidence Framework to \nu -Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:312-323 [Conf]
  6. Ivor W. Tsang, James T. Kwok
    Efficient Hyperkernel Learning Using Second-Order Cone Programming. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:453-464 [Conf]
  7. Ivor W. Tsang, András Kocsor, James T. Kwok
    Diversified SVM Ensembles for Large Data Sets. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:792-800 [Conf]
  8. James T. Kwok
    Linear Dependency between epsilon and the Input Noise in epsilon-Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:405-410 [Conf]
  9. Shutao Li, James T. Kwok, Yaonan Wang
    Fusing Images with Multiple Focuses Using Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:1287-1292 [Conf]
  10. 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. [Citation Graph (0, 0)][DBLP]
    ICB, 2006, pp:129-135 [Conf]
  11. Pak-Ming Cheung, James T. Kwok
    A regularization framework for multiple-instance learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:193-200 [Conf]
  12. Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwok
    Locally adaptive classification piloted by uncertainty. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:225-232 [Conf]
  13. James T. Kwok, Ivor W. Tsang
    Learning with Idealized Kernels. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:400-407 [Conf]
  14. James T. Kwok, Ivor W. Tsang
    The Pre-Image Problem in Kernel Methods. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:408-415 [Conf]
  15. Ivor W. Tsang, James T. Kwok, Kimo T. Lai
    Core Vector Regression for very large regression problems. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:912-919 [Conf]
  16. Kai Zhang, James T. Kwok
    Block-quantized kernel matrix for fast spectral embedding. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:1097-1104 [Conf]
  17. Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
    Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  18. Zhihua Zhang, Dit-Yan Yeung, James T. Kwok
    Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  19. Shutao Li, Chen Liao, James T. Kwok
    Gene Feature Extraction Using T-Test Statistics and Kernel Partial Least Squares. [Citation Graph (0, 0)][DBLP]
    ICONIP (3), 2006, pp:11-20 [Conf]
  20. Martin H. C. Law, James T. Kwok
    Rival Penalized Competitive Learning for Model-Based Sequence Clustering. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2195-2198 [Conf]
  21. Shutao Li, Jinglin Peng, James T. Kwok, Jing Zhang
    Multimodal Registration using the Discrete Wavelet Frame Transform. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:877-880 [Conf]
  22. Hailong Zhu, James T. Kwok, Liangsheng Qu
    Improving De-Noising by Coefficient De-Noising and Dyadic Wavelet Transform. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2002, pp:273-0 [Conf]
  23. Jeffrey Junfeng Pan, James T. Kwok, Qiang Yang, Yiqiang Chen
    Accurate and Low-cost Location Estimation Using Kernels. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1366-1371 [Conf]
  24. Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
    Parametric Distance Metric Learning with Label Information. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1450-0 [Conf]
  25. James T. Kwok, Pak-Ming Cheung
    Marginalized Multi-Instance Kernels. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:901-906 [Conf]
  26. Ivor W. Tsang, James T. Kwok
    Ensembles of Partially Trained SVMs with Multiplicative Updates. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1089-1094 [Conf]
  27. Ivor W. Tsang, András Kocsor, James T. Kwok
    Efficient kernel feature extraction for massive data sets. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:724-729 [Conf]
  28. James T. Kwok, Brian Mak, Simon Ho
    Eigenvoice Speaker Adaptation via Composite Kernel PCA. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  29. Kwok-Wai Cheung, James T. Kwok, Martin H. C. Law, Kwok Ching Tsui
    Mining customer product ratings for personalized marketing. [Citation Graph (0, 0)][DBLP]
    Decision Support Systems, 2003, v:35, n:2, pp:231-243 [Journal]
  30. Shutao Li, James T. Kwok, Yaonan Wang
    Combination of images with diverse focuses using the spatial frequency. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2001, v:2, n:3, pp:169-176 [Journal]
  31. Shutao Li, James T. Kwok, Yaonan Wang
    Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2002, v:3, n:1, pp:17-23 [Journal]
  32. Ivor W. Tsang, James T. Kwok, Pak-Ming Cheung
    Core Vector Machines: Fast SVM Training on Very Large Data Sets. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:363-392 [Journal]
  33. Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
    Model-based transductive learning of the kernel matrix. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:63, n:1, pp:69-101 [Journal]
  34. Victor Cheng, Chun Hung Li, James T. Kwok, Chi-Kwong Li
    Dissimilarity learning for nominal data. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:7, pp:1471-1477 [Journal]
  35. Shutao Li, James T. Kwok, Hailong Zhu, Yaonan Wang
    Texture classification using the support vector machines. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:12, pp:2883-2893 [Journal]
  36. Shutao Li, James T. Kwok, Yaonan Wang
    Multifocus image fusion using artificial neural networks. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2002, v:23, n:8, pp:985-997 [Journal]
  37. Jeffrey Junfeng Pan, James T. Kwok, Qiang Yang, Yiqiang Chen
    Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:9, pp:1181-1193 [Journal]
  38. 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. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Audio, Speech & Language Processing, 2006, v:14, n:4, pp:1267-1280 [Journal]
  39. Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffrey Junfeng Pan
    Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1108-1113 [Conf]
  40. Ivor W. Tsang, András Kocsor, James T. Kwok
    Simpler core vector machines with enclosing balls. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:911-918 [Conf]
  41. Kai Zhang, Ivor W. Tsang, James T. Kwok
    Maximum margin clustering made practical. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:1119-1126 [Conf]
  42. Ivor W. Tsang, James T. Kwok
    Large-Scale Sparsified Manifold Regularization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1401-1408 [Conf]
  43. Kai Zhang, James T. Kwok
    Simplifying Mixture Models through Function Approximation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1577-1584 [Conf]
  44. Patrick C. K. Hung, Dickson K. W. Chiu, W. W. Fung, William K. Cheung, Raymond 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. [Citation Graph (0, 0)][DBLP]
    Information Systems Frontiers, 2007, v:9, n:1, pp:85-101 [Journal]

  45. Transfer Learning via Dimensionality Reduction. [Citation Graph (, )][DBLP]


  46. Transferring Localization Models across Space. [Citation Graph (, )][DBLP]


  47. Cost-Sensitive Semi-Supervised Support Vector Machine. [Citation Graph (, )][DBLP]


  48. Accelerated Gradient Method for Multi-task Sparse Learning Problem. [Citation Graph (, )][DBLP]


  49. Improved Nyström low-rank approximation and error analysis. [Citation Graph (, )][DBLP]


  50. Semi-supervised learning using label mean. [Citation Graph (, )][DBLP]


  51. Prototype vector machine for large scale semi-supervised learning. [Citation Graph (, )][DBLP]


  52. Making Large-Scale Nyström Approximation Possible. [Citation Graph (, )][DBLP]


  53. Domain Adaptation via Transfer Component Analysis. [Citation Graph (, )][DBLP]


  54. Learning the Kernel in Mahalanobis One-Class Support Vector Machines. [Citation Graph (, )][DBLP]


  55. Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers. [Citation Graph (, )][DBLP]


  56. Wavelet-Based Feature Extraction for Microarray Data Classification. [Citation Graph (, )][DBLP]


  57. A Convex Method for Locating Regions of Interest with Multi-instance Learning. [Citation Graph (, )][DBLP]


  58. Multiple Kernel Clustering. [Citation Graph (, )][DBLP]


  59. Spectral and Semidefinite Relaxation of the CLUHSIC Algorithm. [Citation Graph (, )][DBLP]


  60. Incremental PCA based face recognition. [Citation Graph (, )][DBLP]


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