Tensor completion using total variation and low-rank matrix factorization

In this paper, we study the problem of recovering a tensor with missing data. We propose a new model combining the total variation regularization and low-rank matrix factorization. A block coordinate decent (BCD) algorithm is developed to efficiently solve the proposed optimization model. We theoret...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Information sciences 2016-01, Vol.326, p.243-257
Hauptverfasser:	Ji, Teng-Yu, Huang, Ting-Zhu, Zhao, Xi-Le, Ma, Tian-Hui, Liu, Gang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Block coordinate descent Blocking Factorization Low-rank matrix factorization Mathematical analysis Mathematical models Optimization Regularization Tensor completion Tensors Total variation
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!