Truncated nuclear norm regularization for low-rank tensor completion

Recently, low-rank tensor completion has become increasingly attractive in recovering incomplete visual data. Considering a color image or video as a three-dimensional (3D) tensor, existing studies have put forward several definitions of tensor nuclear norm. However, they are limited and may not acc...

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Veröffentlicht in:	arXiv.org 2019-01
Hauptverfasser:	Xue, Shengke, Qiu, Wenyuan, Liu, Fan, Jin, Xinyu
Format:	Artikel
Sprache:	eng
Schlagworte:	Mathematical analysis Regularization Singular value decomposition Tensors
Online-Zugang:	Volltext
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