Zhangyang Wang Department of Computer Science and Engineering, Texas A&M University, College Station, TX, United States
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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