Low-Rank Matrix Recovery from Noise via an MDL Framework-Based Atomic Norm

The recovery of the underlying low-rank structure of clean data corrupted with sparse noise/outliers is attracting increasing interest. However, in many low-level vision problems, the exact target rank of the underlying structure and the particular locations and values of the sparse outliers are not...

Descripción completa

Detalles Bibliográficos
Autores principales: Qin, Anyong, Xian, Lina, Yang, Yongliang, Zhang, Taiping, Tang, Yuan Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663647/
https://www.ncbi.nlm.nih.gov/pubmed/33121059
http://dx.doi.org/10.3390/s20216111

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663647/
https://www.ncbi.nlm.nih.gov/pubmed/33121059
http://dx.doi.org/10.3390/s20216111

Ejemplares similares