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Robust supervised sparse representation for face recognition
Affiliation:1. Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;2. College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;3. College of Computer and Information Sciences, Chongqing Normal University, Chongqing 401331, China;4. BaoAn Central Hospital of Shenzhen, Shenzhen, 518101, China;1. Beijing Institute of Technology, Beijing 100081, China;2. Beijing Key Laboratory of Fractional Signals and Systems, Beijing 100081, China;1. Center for Radio Administration and Technology Development, Xihua University, Chengdu 610039, China;2. School of Electrical and Information Engineering, Xihua University, Chengdu 610039, China;3. Research Group of Natural Computing, Department of Computer Science and Artificial Intelligence, University of Seville, Sevilla 41012, Spain
Abstract:
Keywords:Face recognition  Huber Loss  Supervised sparse representation
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