April 2019
Intermediate to advanced
296 pages
17h 13m
English
Content preview from Deep Learning through Sparse and Low-Rank Modeling
Deep
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Chapter 3
Deep 
Encoders: A Model Unfolding Example⁎
Zhangyang Wang Department of Computer Science and Engineering, Texas A&M University, College Station, TX, United States
Abstract
Despite its nonconvex nature, sparse approximation is desirable in many theoretical and application cases. We study the sparse approximation problem with the tool of deep learning, by proposing deep encoders. Two typical forms, the -regularized ...
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