Learning Sparsity-Promoting Regularizers Using Bilevel Optimization-Reference-Cited by-同舟云学术

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Learning Sparsity-Promoting Regularizers Using Bilevel Optimization

Published:2024-01-10 Issue:1 Volume:17 Page:31-60
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Ghosh Avrajit¹^ORCID,McCann Michael²,Mitchell Madeline¹,Ravishankar Saiprasad¹³

Affiliation:

1. Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI 48824 USA.

2. Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545 USA.

3. Biomedical Engineering, Michigan State University, East Lansing, MI 48824 USA.

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference48 articles.

1. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

2. First M87 Event Horizon Telescope Results. IV. Imaging the Central Supermassive Black Hole

3. Matrix Mathematics

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive Local Neighborhood-Based Neural Networks for MR Image Reconstruction From Undersampled Data;IEEE Transactions on Computational Imaging;2024

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