Robust Low-Rank Matrix Recovery as Mixed Integer Programming via $\ell _{0}$-Norm Optimization-Reference-Cited by-同舟云学术

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Robust Low-Rank Matrix Recovery as Mixed Integer Programming via $\ell _{0}$-Norm Optimization

Published:2023 Issue: Volume:30 Page:1012-1016
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Shi Zhang-Lei¹^ORCID,Li Xiao Peng²^ORCID,Li Weiguo¹^ORCID,Yan Tongjiang¹^ORCID,Wang Jian¹^ORCID,Fu Yaru³^ORCID

Affiliation:

1. College of Science, China University of Petroleum (East China), Qingdao, China

2. State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University, Shenzhen, China

3. Department of Electronic Engineering and Computer Science, Hong Kong Metropolitan University, Hong Kong SAR, China

Funder

Fundamental Research Funds for the Central Universities

Research Matching

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/10036333/10202168.pdf?arnumber=10202168

Reference30 articles.

1. Order Estimation via Matrix Completion for Multi-Switch Antenna Selection

2. Matrix Completion Based on Non-Convex Low-Rank Approximation

3. Enhanced Low-Rank Matrix Approximation

4. Fast Robust Matrix Completion via Entry-Wise $\ell_{0}$-Norm Minimization

5. SphereFace: Deep Hypersphere Embedding for Face Recognition

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1. A fast matrix completion method based on truncated$ {\mathit{L}}_{2, 1} $ norm minimization;Electronic Research Archive;2024

2. First-Order Sparse TSK Nonstationary Fuzzy Neural Network Based on the Mean Shift Algorithm and the Group Lasso Regularization;Mathematics;2023-12-29

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