Robust Tensor Factorization for Color Image and Grayscale Video Recovery

Low-rank tensor completion (LRTC) plays an important role in many fields, such as machine learning, computer vision, image processing, and mathematical theory. Since rank minimization is an NP-hard problem, one strategy is that it is converted into a convex relaxation tensor nuclear norm (TNN) that...

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Dades bibliogràfiques

Autors principals:	Shiqiang Du, Yuqing Shi, Wenjin Hu, Weilan Wang, Jing Lian
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2020-01-01
Col·lecció:	IEEE Access
Matèries:	Tensor completion tensor factorization low-rank tensor tensor nuclear norm
Accés en línia:	https://ieeexplore.ieee.org/document/9200322/
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