2006 |
16 | EE | Anil K. Jain,
Pavan Kumar Mallapragada,
Martin H. C. Law:
Bayesian Feedback in Data Clustering.
ICPR (3) 2006: 374-378 |
15 | EE | 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) |
2005 |
14 | EE | Tilman Lange,
Martin H. C. Law,
Anil K. Jain,
Joachim M. Buhmann:
Learning with Constrained and Unlabelled Data.
CVPR (1) 2005: 731-738 |
13 | EE | Anil K. Jain,
Martin H. C. Law:
Data Clustering: A User's Dilemma.
PReMI 2005: 1-10 |
12 | | Martin H. C. Law,
Alexander P. Topchy,
Anil K. Jain:
Model-based Clustering With Probabilistic Constraints.
SDM 2005 |
2004 |
11 | EE | Martin H. C. Law,
Alexander P. Topchy,
Anil K. Jain:
Multiobjective Data Clustering.
CVPR (2) 2004: 424-430 |
10 | EE | 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 |
9 | EE | Anil K. Jain,
Alexander P. Topchy,
Martin H. C. Law,
Joachim M. Buhmann:
Landscape of Clustering Algorithms.
ICPR (1) 2004: 260-263 |
8 | EE | Martin H. C. Law,
Nan Zhang,
Anil K. Jain:
Nonlinear Manifold Learning for Data Stream.
SDM 2004 |
7 | EE | Martin H. C. Law,
Alexander P. Topchy,
Anil K. Jain:
Clustering with Soft and Group Constraints.
SSPR/SPR 2004: 662-670 |
6 | EE | 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 |
5 | EE | Mário A. T. Figueiredo,
Anil K. Jain,
Martin H. C. Law:
A Feature Selection Wrapper for Mixtures.
IbPRIA 2003: 229-237 |
4 | EE | Kwok-Wai Cheung,
James T. Kwok,
Martin H. C. Law,
Kwok Ching Tsui:
Mining customer product ratings for personalized marketing.
Decision Support Systems 35(2): 231-243 (2003) |
2002 |
3 | EE | Martin H. C. Law,
Anil K. Jain,
Mário A. T. Figueiredo:
Feature Selection in Mixture-Based Clustering.
NIPS 2002: 625-632 |
2001 |
2 | EE | Martin H. C. Law,
James T. Kwok:
Applying the Bayesian Evidence Framework to \nu -Support Vector Regression.
ECML 2001: 312-323 |
2000 |
1 | EE | Martin H. C. Law,
James T. Kwok:
Rival Penalized Competitive Learning for Model-Based Sequence Clustering.
ICPR 2000: 2195-2198 |