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A New Dictionary Learning Method for Kernel Matching Pursuit

  • Shuiping Gou
  • Qing Li
  • Xiangrong Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4223)

Abstract

This paper presents a method for dictionary training of Kernel matching pursuits (KMP) [1] applied in large size data classification. This algorithm uses the existing fuzzy clustering technique to design function dictionary from a set of training data. The motivation is to enhance the local and quickly searching ability of basic matching pursuit algorithm. As a result, this method reduces computation complexity of matching pursuit algorithm. Simulation results show the proposed algorithm is efficacious for training large size pattern space.

Keywords

Dictionary Learn Remote Sense Image Fuzzy Cluster Algorithm Pursuit Algorithm Redundant Dictionary 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Shuiping Gou
    • 1
  • Qing Li
    • 1
  • Xiangrong Zhang
    • 1
  1. 1.Institute of Intelligent Information ProcessingXidian UniversityXi’anChina

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