Deep Double Incomplete Multi-view Multi-label Classification via Graph-Constraint Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5594-3_37
Reference15 articles.
1. Dong, Q., Zhu, X., Gong, S.: Single-label multi-class image classification by deep logistic regression. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, no. 01, pp. 3486–3493, July 2019
2. Wu, X., et al.: Multi-view multi-label learning with view-specific information extraction. In: IJCAI, pp. 3884–3890, August 2019
3. Xie, M., Ye, Z., Pan, G., Liu, X.: Incomplete multi-view subspace clustering with adaptive instance-sample mapping and deep feature fusion. Appl. Intell. 51(8), 5584–5597 (2021)
4. Shi, Q., Cheung, Y.M., Zhao, Q., Lu, H.: Feature extraction for incomplete data via low-rank tensor decomposition with feature regularization. IEEE Trans. Neural Netw. Learn. Syst. 30(6), 1803–1817 (2018)
5. Read, J., Perez-Cruz, F.: Deep learning for multi-label classification. arXiv preprint arXiv:1502.05988 (2014)
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