Recovering low-rank and sparse matrix based on the truncated nuclear norm

标题
Recovering low-rank and sparse matrix based on the truncated nuclear norm
作者
关键词
Recovery of matrix, Low-rank and sparse decomposition, Truncated nuclear norm, Surveillance video, Removing shadows of image
出版物
NEURAL NETWORKS
Volume 85, Issue -, Pages 10-20
出版商
Elsevier BV
发表日期
2016-10-08
DOI
10.1016/j.neunet.2016.09.005

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