An Informative Feature Extraction Algorithm for Kernel Machines

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

Published
2013-09-09
How to Cite
Liu, J. S. (2013). An Informative Feature Extraction Algorithm for Kernel Machines. Elektronika Ir Elektrotechnika, 19(7), 94-97. https://doi.org/10.5755/j01.eee.19.7.5172
Section
SYSTEM ENGINEERING, COMPUTER TECHNOLOGY