Stochastic Recursive Gradient Support Pursuit and Its Sparse Representation Applications

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 <inline-formula><math display="inline"><semantics><msub><mo>ℓ</mo><mn>0</mn></msub></se...

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Bibliographic Details
Main Authors: Fanhua Shang, Bingkun Wei, Yuanyuan Liu, Hongying Liu, Shuang Wang, Licheng Jiao
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
sparse learning
hard thresholding
stochastic optimization
variance reduction
Online Access:https://www.mdpi.com/1424-8220/20/17/4902

Internet

https://www.mdpi.com/1424-8220/20/17/4902

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