Martin H C Law

Summary

Affiliation: Michigan State University
Country: USA

Publications

  1. ncbi request reprint Incremental nonlinear dimensionality reduction by manifold learning
    Martin H C Law
    Department of Computer Science and Engineering, Michigan State University, East Lansing 48824 1226, USA
    IEEE Trans Pattern Anal Mach Intell 28:377-91. 2006
  2. ncbi request reprint Simultaneous feature selection and clustering using mixture models
    Martin H C Law
    Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan 48824 1226, USA
    IEEE Trans Pattern Anal Mach Intell 26:1154-66. 2004

Detail Information

Publications2

  1. ncbi request reprint Incremental nonlinear dimensionality reduction by manifold learning
    Martin H C Law
    Department of Computer Science and Engineering, Michigan State University, East Lansing 48824 1226, USA
    IEEE Trans Pattern Anal Mach Intell 28:377-91. 2006
    ..Our experiments on synthetic data as well as real world images demonstrate that our modified algorithm can maintain an accurate low-dimensional representation of the data in an efficient manner...
  2. ncbi request reprint Simultaneous feature selection and clustering using mixture models
    Martin H C Law
    Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan 48824 1226, USA
    IEEE Trans Pattern Anal Mach Intell 26:1154-66. 2004
    ..The criterion and algorithm are then extended to simultaneously estimate the feature saliencies and the number of clusters...