Learnable Multi-view Matrix Factorization with Graph Embedding and Flexible Loss-Reference-Cited by-同舟云学术

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Learnable Multi-view Matrix Factorization with Graph Embedding and Flexible Loss

Published:2022 Issue: Volume: Page:1-1
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Huang Sheng,Zhang Yunhe,Fu Lele,Wang Shiping

Funder

Natural Science Foundation of Fujian Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/4456689/09732240.pdf?arnumber=9732240

Cited by 18 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. Graph Convolutional Network with elastic topology;Pattern Recognition;2024-07

2. Low-rank tensor learning with projection distance metric for multi-view clustering;International Journal of Machine Learning and Cybernetics;2024-04-26

3. GAF-Net: Graph attention fusion network for multi-view semi-supervised classification;Expert Systems with Applications;2024-03

4. Deep Masked Graph Node Clustering;IEEE Transactions on Computational Social Systems;2024

5. UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity;IEEE Transactions on Image Processing;2024

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