An Informative Feature Extraction Algorithm for Kernel Machines

Authors

  • J. S. Liu Jiangxi University of Science and Technology

DOI:

https://doi.org/10.5755/j01.eee.19.7.5172

Keywords:

Feature extraction, kernel machines, image processing

Abstract

In this paper we propose a novel method for feature extraction tasks. The algorithm contains three stages: quantifying of feature difference to determining the importance of all features; constructing a feature extraction model according to the traditional nearest neighbour principle and optimizing this model using gradient based methods. Experimental results on benchmark data set have validated the effectiveness of the proposed method.

DOI: http://dx.doi.org/10.5755/j01.eee.19.7.5172

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Published

2013-09-09

Issue

Vol. 19 No. 7 (2013)

Section

SYSTEM ENGINEERING, COMPUTER TECHNOLOGY

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By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.

How to Cite

An Informative Feature Extraction Algorithm for Kernel Machines. (2013). Elektronika Ir Elektrotechnika, 19(7), 94-97. https://doi.org/10.5755/j01.eee.19.7.5172