Concept factorization with adaptive graph learning on Stiefel manifold
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hubei Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05606-8.pdf
Reference46 articles.
1. Lin X, Chen X, Zheng Z (2023) Deep manifold matrix factorization autoencoder using global connectivity for link prediction. Appl Intell 53(21):25816–25835. https://doi.org/10.1007/s10489-023-04887-9
2. Gao X, Zhang Z, Mu T et al (2020) Self-attention driven adversarial similarity learning network. Pattern Recogn, 105:107331. https://doi.org/10.1016/j.patcog.2020.107331
3. Wu W, Hou J, Wang S et al (2023) Semi-supervised adaptive kernel concept factorization. Pattern Recogn, 134:109114. https://doi.org/10.1016/j.patcog.2022.109114
4. Rahiche A, Cheriet M (2021) Blind decomposition of multispectral document images using orthogonal non-negative matrix factorization. IEEE Trans Image Process, 30:5997–6012. https://doi.org/10.1109/TIP.2021.3088266
5. Lee D, Seung H (1999) Learning the parts of objects by non-negative matrix factorization. Nature 401(6755):788–791. https://doi.org/10.1038/44565
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