A Unified Class of DC-type Convexity-Preserving Regularizers for Improved Sparse Regularization

Author:

Zhang Yi1,Yamada Isao1

Affiliation:

1. Tokyo Institute of Technology,Department of Information and Communications Engineering,Tokyo,Japan

Funder

JSPS

Publisher

IEEE

Reference23 articles.

1. Linearly-involved Moreau-Enhanced-over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression;yukawa;ArXiv Preprint,2022

2. Sparse Image and Signal Processing

3. An Introduction to Total Variation for Image Analysis;chambolle;Theoretical Foundations and Numerical Methods for Sparse Recovery,2010

4. Proximal Splitting Methods in Signal Processing

5. Minimizing the Moreau Envelope of N onsmooth Convex Functions over the Fixed Point Set of Certain Quasi-Nonexpansive Mappings;yamada;Fixed-Point Algorithms For Inverse Problems in Science and Engineering,2011

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