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A unified framework for nonconvex nonsmooth sparse and low-rank decomposition by majorization-minimization algorithm
Institution:1. School of Mathematics and Statistics, Changchun University of Technology, Changchun 130012, China;2. Academy for Advanced Interdisciplinary Studies, Northeast Normal University, Changchun 130024, China;1. Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China;2. City University of Hong Kong Chengdu Research Institute, Chengdu 610200, China;1. Department of Mathematics, Guizhou University, Guiyang, Guizhou 550025, PR China;2. Key Laboratory of High Performance Computing and Stochastic Information Processing (Ministry of Education of China), CHP-LCOCS, School of Mathematics and Statistics, Hunan Normal University, Changsha 410081, China;1. School of Internet Finance and Information Engineering, Guangdong University of Finance, Guangzhou,510521, China;2. School of Automation, Guangdong University of Technology, Guangzhou, 510006, China;3. Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing, Guangzhou, 510006, China;4. School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China;1. Center for Control Theory and Guidance Technology, Harbin Institute of Technology, Harbin 150001, China;2. School of Electronics and Information Engineering, Suzhou University of Science and Technology, Suzhou 215000, China;1. Collegee of Science, Hebei North University, Zhangjiakou, 075000, PR China;2. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, PR China
Abstract:
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