A Discrete-Time Projection Neural Network for Sparse Signal Reconstruction With Application to Face Recognition.

Algorithms Facial Recognition / physiology Humans Image Processing, Computer-Assisted / methods Neural Networks, Computer Pattern Recognition, Automated / methods Photic Stimulation / methods Recognition, Psychology / physiology Time Factors

Journal

IEEE transactions on neural networks and learning systems

ISSN: 2162-2388

Titre abrégé: IEEE Trans Neural Netw Learn Syst

Pays: United States

ID NLM: 101616214

Informations de publication

Date de publication:
01 2019

Historique:

pubmed: 12 7 2018

medline: 2 1 2020

entrez: 12 7 2018

Statut: ppublish

Résumé

This paper deals with sparse signal reconstruction by designing a discrete-time projection neural network. Sparse signal reconstruction can be converted into an L

Identifiants

DOI: 10.1109/TNNLS.2018.2836933 PMID: 29994338

pubmed: 29994338

doi: 10.1109/TNNLS.2018.2836933

doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

Pagination

151-162

A Discrete-Time Projection Neural Network for Sparse Signal Reconstruction With Application to Face Recognition.

Journal

Informations de publication

Résumé

Identifiants

Types de publication

Langues

Sous-ensembles de citation

Pagination

Auteurs

Bingrong Xu (B)

Qingshan Liu (Q)

Tingwen Huang (T)

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Classifications MeSH