Label recovery and label correlation co-learning for multi-view multi-label classification with incomplete labels-Reference-Cited by-同舟云学术

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Label recovery and label correlation co-learning for multi-view multi-label classification with incomplete labels

Published:2022-08-09 Issue:8 Volume:53 Page:9444-9462
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

He Zhi-Fen,Zhang Chun-Hua,Liu Bin,Li Bo

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangxi Province

Jiangxi Science Fund for Distinguished Young Scholars

Science and Technology Research Project of Jiangxi Provincial Education Department

Scientific Startup Foundation for Doctors of Nanchang Hangkong University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03945-y.pdf

Reference40 articles.

1. Luo Y, Tao DC, Xu C, Liu H, Wen YG (2013) Multiview vector-valued manifold regularization for multilabel image classification. IEEE Trans Neural Netw Learn Syst 24(5):709–722

2. Luo Y, Liu TL, Tao DC, Xu C (2015) Multiview matrix completion for multi-label image classification. IEEE Trans Image Process 24(8):2355–2368

3. Liu M, Luo Y et al (2015) Low-rank multi-view learning in matrix completion for multi-label image classification. 29th AAAI Conference on Artificial Intelligence, pp 2778–2784

4. Zhang YS, Wu J, Cai Z, Yu PS (2020) Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation. IEEE Trans Multimed 22(11):2844–2857

5. Wu X, Chen QG et al (2019) Multi-view multi-label learning with view-specific information extraction. 28th International Joint Conference on Artificial Intelligence, pp 3884–3890

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