Double Transformed Tubal Nuclear Norm Minimization for Tensor CompletionOACSCDCSTPCD
Non-convex methods play a critical role in low-rank tensor completion for their approximation to tensor rank is tighter than that of convex methods.But they usually cost much more time for calculating singular values of large…查看全部>>
TIAN Jialue;ZHU Yulian;LIU Jiahui
College of Computer Science and Technology/College of Artificial Intelligence,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,P.R.ChinaFundamental Experimental Teaching Department,Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology/College of Artificial Intelligence,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,P.R.China
计算机与自动化
double transformed tubal nuclear normlow tubal-ranknon-convex optimizationtensor factorizationtensor completion
《南京航空航天大学学报：英文版》 2022 (S01)
P.166-174,9
financially supported by the National Nautral Science Foundation of China(No.61703206)
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