Author:
Ma Xu,Yuan Junkun,Chen Yen-wei,Tong Ruofeng,Lin Lanfen
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference48 articles.
1. K. He, X. Zhang, S. Ren, J. Sun, Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770–778.
2. A theory of learning from different domains;Ben-David;Machine learning,2010
3. Z. Ding, S. Li, M. Shao, Y. Fu, Graph adaptive knowledge transfer for unsupervised domain adaptation, in: Proceedings of the European Conference on Computer Vision (ECCV), pp. 37–52.
4. Y.-W. Luo, C.-X. Ren, P. Ge, K.-K. Huang, Y.-F. Yu, Unsupervised domain adaptation via discriminative manifold embedding and alignment, in: Proceedings of the AAAI Conference on Artificial Intelligence, volume 34, pp. 5029–5036.
5. R. Zhu, X. Jiang, J. Lu, S. Li, Transferable feature learning on graphs across visual domains, in: 2021 IEEE International Conference on Multimedia and Expo (ICME), IEEE, pp. 1–6.
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