Stochastic Recursive Gradient Support Pursuit and Its Sparse Representation Applications

In recent years, a series of matching pursuit and hard thresholding algorithms have been proposed to solve the sparse representation problem with [Formula: see text]-norm constraint. In addition, some stochastic hard thresholding methods were also proposed, such as stochastic gradient hard threshold...

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Detalles Bibliográficos
Autores principales: Shang, Fanhua, Wei, Bingkun, Liu, Yuanyuan, Liu, Hongying, Wang, Shuang, Jiao, Licheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506682/
https://www.ncbi.nlm.nih.gov/pubmed/32872609
http://dx.doi.org/10.3390/s20174902

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506682/
https://www.ncbi.nlm.nih.gov/pubmed/32872609
http://dx.doi.org/10.3390/s20174902

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