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PRL
2006

Multi-class feature selection for texture classification

13 years 10 months ago
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
Xue-wen Chen, Xiang-Yan Zeng, Deborah van Alphen
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2006
Where PRL
Authors Xue-wen Chen, Xiang-Yan Zeng, Deborah van Alphen
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