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Journal Articles
- 2006
[j3]Martin H. C. Law, Anil K. Jain:
Incremental Nonlinear Dimensionality Reduction by Manifold Learning. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 377-391 (2006)- 2004
- [j2]Martin H. C. Law, Mário A. T. Figueiredo, Anil K. Jain:
Simultaneous Feature Selection and Clustering Using Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 26(9): 1154-1166 (2004) - 2003
- [j1]Kwok-Wai Cheung
, James T. Kwok, Martin H. C. Law, Kwok Ching Tsui:
Mining customer product ratings for personalized marketing. Decis. Support Syst. 35(2): 231-243 (2003)
Conference and Workshop Papers
- 2006
- [c14]Anil K. Jain, Pavan Kumar Mallapragada, Martin H. C. Law:
Bayesian Feedback in Data Clustering. ICPR (3) 2006: 374-378 - 2005
- [c13]Tilman Lange, Martin H. C. Law, Anil K. Jain, Joachim M. Buhmann:
Learning with Constrained and Unlabelled Data. CVPR (1) 2005: 731-738 - [c12]Anil K. Jain, Martin H. C. Law:
Data Clustering: A User's Dilemma. PReMI 2005: 1-10 - [c11]Martin H. C. Law, Alexander P. Topchy, Anil K. Jain:
Model-based Clustering With Probabilistic Constraints. SDM 2005: 641-645 - 2004
- [c10]Martin H. C. Law, Alexander P. Topchy, Anil K. Jain:
Multiobjective Data Clustering. CVPR (2) 2004: 424-430 - [c9]Alexander P. Topchy, Martin H. C. Law, Anil K. Jain, Ana L. N. Fred:
Analysis of Consensus Partition in Cluster Ensemble. ICDM 2004: 225-232 - [c8]Anil K. Jain, Alexander P. Topchy, Martin H. C. Law, Joachim M. Buhmann:
Landscape of Clustering Algorithms. ICPR (1) 2004: 260-263 - [c7]Martin H. C. Law, Nan Zhang, Anil K. Jain:
Nonlinear Manifold Learning for Data Stream. SDM 2004: 33-44 - [c6]Martin H. C. Law, Alexander P. Topchy, Anil K. Jain:
Clustering with Soft and Group Constraints. SSPR/SPR 2004: 662-670 - 2003
- [c5]Mário A. T. Figueiredo, Anil K. Jain, Martin H. C. Law:
A Feature Selection Wrapper for Mixtures. IbPRIA 2003: 229-237 - 2002
- [c4]Martin H. C. Law, Anil K. Jain, Mário A. T. Figueiredo:
Feature Selection in Mixture-Based Clustering. NIPS 2002: 625-632 - 2001
- [c3]Martin H. C. Law, James Tin-Yau Kwok:
Bayesian Support Vector Regression. AISTATS 2001: 162-167 - [c2]Martin H. C. Law, James T. Kwok:
Applying the Bayesian Evidence Framework to \nu -Support Vector Regression. ECML 2001: 312-323 - 2000
- [c1]Martin H. C. Law, James T. Kwok:
Rival Penalized Competitive Learning for Model-Based Sequence Clustering. ICPR 2000: 2195-2198
Coauthor Index
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