Structured Sparse Non-negative Matrix Factorization with $\ell _{2,0}$-Norm-Reference-Cited by-同舟云学术

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Structured Sparse Non-negative Matrix Factorization with $\ell _{2,0}$-Norm

Published:2022 Issue: Volume: Page:1-13
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Min Wenwen¹^ORCID,Xu Taosheng²,Wan Xiang³^ORCID,Chang Tsung-Hui⁴^ORCID

Affiliation:

1. School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, China

2. Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, China

3. Shenzhen Research Institute of Big Data, Shenzhen, China

4. The Chinese University of Hong Kong, Shenzhen, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09893402.pdf?arnumber=9893402

Cited by 5 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. Efficient method for symmetric nonnegative matrix factorization with an approximate augmented Lagrangian scheme;Journal of Computational and Applied Mathematics;2025-01

2. The rise of nonnegative matrix factorization: Algorithms and applications;Information Systems;2024-07

3. Through-The-Wall Radar Imaging With Wall Clutter Removal Via Riemannian Optimization On The Fixed-Rank Manifold;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Nonnegative Matrix Factorization: A Review;December 2023;2023-09

5. Semi-supervised non-negative matrix tri-factorization with adaptive neighbors and block-diagonal learning;Engineering Applications of Artificial Intelligence;2023-05

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