Adaptive ADMM for Dictionary Learning in Convolutional Sparse Representation.


Journal

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
ISSN: 1941-0042
Titre abrégé: IEEE Trans Image Process
Pays: United States
ID NLM: 9886191

Informations de publication

Date de publication:
Jul 2019
Historique:
pubmed: 5 2 2019
medline: 5 2 2019
entrez: 5 2 2019
Statut: ppublish

Résumé

In this paper, we propose a novel approach to convolutional sparse representation with the aim of resolving the dictionary learning problem. The proposed method, referred to as the adaptive alternating direction method of multipliers (AADMM), employs constraints comprising non-convex, non-smooth terms, such as the l

Identifiants

pubmed: 30714925
doi: 10.1109/TIP.2019.2896541
doi:

Types de publication

Journal Article

Langues

eng

Pagination

3408-3422

Auteurs

Classifications MeSH