A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization-Reference-Cited by-同舟云学术

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A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization

Published:2021 Issue: Volume: Page:1-1
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Li Xiao,Zhu Zhihui,Li Qiuwei,Liu Kai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09606619.pdf?arnumber=9606619

Cited by 6 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. Deep Symmetric Matrix Factorization;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04

2. Matrix Factorization Techniques in Machine Learning, Signal Processing, and Statistics;Mathematics;2023-06-12

3. A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector;IEEE Transactions on Emerging Topics in Computational Intelligence;2023-06

4. Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection;Information Fusion;2023-01

5. An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks;2022 IEEE International Conference on Networking, Sensing and Control (ICNSC);2022-12-15

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