Feature Selection for Image Classification Based on a New Ranking Criterion
نویسندگان
چکیده
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 reliefSVM-RFE algorithm can achieve significant improvements for feature selection in image classification.
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تاریخ انتشار 2015