Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference54 articles.
1. Akaho, S. (2006). A kernel method for canonical correlation analysis. arXiv preprint arXiv:cs/0609071
2. Aljundi, R., Chakravarty, P., & Tuytelaars, T. (2017). Expert gate: Lifelong learning with a network of experts. In Conference on computer vision and pattern recognition (CVPR) (pp. 7120–7129).
3. Andrew, G., Arora, R., Bilmes, J. A., & Livescu, K. (2013). Deep canonical correlation analysis. In International conference on machine learning (ICML) (pp. 1247–1255).
4. Eisenschtat, A., & Wolf, L. (2017). Linking image and text with 2-way nets. In Conference on computer vision and pattern recognition (CVPR) (pp. 1855–1865).
5. Feng, F., Wang, X., & Li, R. (2014). Cross-modal retrieval with correspondence autoencoder. In ACM conference on multimedia (ACM-MM) (pp. 7–16).
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