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Fast Recognition of Multi-view Faces with Feature Selection - yamsh - 10-04-2017 [attachment=5661] Fast Recognition of Multi-view Faces with Feature Selection Zhi-Gang Fan and Bao-Liang Lu Departmart of Computer Science and Engineering Shanghai Jiao Tong University, Shanghai 200030, China We propose a discriminative feature selection method utilizing support vector machines for the challenging task of multi-view face recognition. According to the statisti- cal relationship between the two tasks, feature selection and multi-class classification, we integrate the two tasks into a single consistent framework and effectively realize the goal of discriminative feature selection. The classification pro- cess can be made faster without degrading the generaliza- tion performance through this discriminative feature selec- tion method. On the UMIST multi-view face database, our experiments show that this discriminative feature selection method can speed up the multi-view face recognition pro- traditional kernel subspace methods. |