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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |