Martin H. C. Law

According to our database1, Martin H. C. Law authored at least 17 papers between 2000 and 2006.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2006
Incremental Nonlinear Dimensionality Reduction by Manifold Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Bayesian Feedback in Data Clustering.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
Model-based Clustering With Probabilistic Constraints.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Data Clustering: A User's Dilemma.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005

Learning with Constrained and Unlabelled Data.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Simultaneous Feature Selection and Clustering Using Mixture Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Clustering with Soft and Group Constraints.
Proceedings of the Structural, 2004

Nonlinear Manifold Learning for Data Stream.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Landscape of Clustering Algorithms.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Analysis of Consensus Partition in Cluster Ensemble.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Multiobjective Data Clustering.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Mining customer product ratings for personalized marketing.
Decis. Support Syst., 2003

A Feature Selection Wrapper for Mixtures.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

2002
Feature Selection in Mixture-Based Clustering.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Applying the Bayesian Evidence Framework to \nu -Support Vector Regression.
Proceedings of the Machine Learning: EMCL 2001, 2001

Bayesian Support Vector Regression.
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000
Rival Penalized Competitive Learning for Model-Based Sequence Clustering.
Proceedings of the 15th International Conference on Pattern Recognition, 2000


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