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perception.csl.uiuc.edu
MANUSCRIPT SUBMITTED TO IEEE TRANS. PAMI, AUGUST 2007. 1 Feature Selection in Face Recognition: A Sparse Representation Perspective Allen Y. Yang, Member, IEEE, John Wright, Student Member, IEEE, Yi Ma, Senior Member, IEEE, and S. Shankar Sastry, Fellow, IEEE. A. Yang and S. Sastry are with the Department of Electrical Engineering and Computer Science, University of California at Berkeley. J. Wri
Welcome! This website introduces a new mathematical framework for classification and recognition problems in computer vision, especially face recognition. The basic idea is to cast recognition as a sparse representation problem, utilizing new mathematical tools from compressed sensing and L1 minimization. This leads to highly robust, scalable algorithms for face recognition based on linear or conv
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