Revisiting convexity-preserving signal recovery with the linearly involved GMC penalty-Reference-Cited by-同舟云学术

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Revisiting convexity-preserving signal recovery with the linearly involved GMC penalty

Published:2022-04 Issue: Volume:156 Page:60-66
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Liu Xiaoqian,Chi Eric C.^ORCID

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference22 articles.

1. Atomic decomposition by basis pursuit;Chen;SIAM J. Sci. Comput.,1998

2. Sparsity-assisted signal smoothing;Selesnick,2015

3. Regression shrinkage and selection via the lasso;Tibshirani;J. R. Stat. Soc. B,1996

4. Visual Reconstruction;Blake,1987

5. Estimation of binary images by minimizing convex criteria;Nikolova,1998

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1. Imposing Early and Asymptotic Constraints on Ligme with Application to Nonconvex Enhancement of Fused Lasso Models;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. A Unified Design of Generalized Moreau Enhancement Matrix for Sparsity Aware LiGME Models;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2023-08-01

3. Gearbox fault diagnosis based on generalized multivariate logarithmic regularization;Measurement Science and Technology;2023-03-03

4. A convex-nonconvex strategy for grouped variable selection;Electronic Journal of Statistics;2023-01-01

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