TITLE:
Feature Selection for Image Classification Based on a New Ranking Criterion
AUTHORS:
Xuan Zhou, Jiajun Wang
KEYWORDS:
Feature Selection for Image Classification Based on a New Ranking Criterion
JOURNAL NAME:
Journal of Computer and Communications,
Vol.3 No.3,
March
18,
2015
ABSTRACT: In this paper, a feature selection method
combining the reliefF and SVM-RFE algorithm is proposed. This algorithm
integrates the weight vector from the reliefF into SVM-RFE method. In this
method, the reliefF filters out many noisy features in the first stage. Then
the new ranking criterion based on SVM-RFE method is applied to obtain the final
feature subset. The SVM classifier is used to evaluate the final image
classification accuracy. Experimental results show that our proposed relief-
SVM-RFE algorithm can achieve significant improvements for feature selection in
image classification.