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Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis Journal article
Zhang, Hengmin, Qian, Feng, Shi, Peng, Du, Wenli, Tang, Yang, Qian, Jianjun, Gong, Chen, Yang, Jian. Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(9), 5342-5353.
Authors:  Zhang, Hengmin;  Qian, Feng;  Shi, Peng;  Du, Wenli;  Tang, Yang; et al.
Favorite | TC[WOS]:23 TC[Scopus]:23  IF:10.2/10.4 | Submit date:2023/10/10
Algorithm Designs  Convergence Analysis  Low-rank Matrix Recovery  Multiple Variables  Nonconvex Alternating Direction Method Of Multiplier (Admm)