Multi-view multi-label learning with double orders manifold preserving
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-04242-4.pdf
Reference40 articles.
1. Jain PK, Pamula R, Yekun EA (2022) A multi-label ensemble predicting model to service recommendation from social media contents. J Supercomput 78(4):5203–5220
2. Tahzeeb S, Hasan S (2022) A neural network-based multi-label classifier for protein function prediction. Eng Technol Appl Sci Res 12(1):7974–7981
3. Markatopoulou F, Mezaris V, Patras I (2018) Implicit and explicit concept relations in deep neural networks for multi-label video/image annotation. IEEE Trans Circuits Syst Vid Technol 29(6):1631–1644
4. Ke X, Zou J, Niu Y (2019) End-to-end automatic image annotation based on deep CNN and multi-label data augmentation. IEEE Trans Multime 21(8):2093–2106
5. Liu H, Liu T, Zhang Z, Sangaiah AK, Yang B, Li Y (2022) ARHPE: asymmetric Relation-aware representation learning for head pose estimation in industrial human–computer interaction. IEEE Trans Industr Inform 18(10):7107–7117
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