Multi-class feature selection for texture classification

In this paper, a multi-class feature selection scheme based on recursive feature elimination (RFE) is proposed for texture classifications. The feature selection scheme is performed in the context of one-against-all least squares support vector machine classifiers (LSSVM). The margin difference between binary classifiers with and without an associated feature is used to characterize the discriminating power of features for the binary classification. A new criterion of min

• Type: Journal
• Year: 2006
• Where: PRL
• Authors: Xue-wen Chen, Xiang-Yan Zeng, Deborah van Alphen
• Keywords: Binary Classifiers, Feature Selection Scheme, Multi-class Feature Selection, PRL 2006