Similarity Distance-Based Kernel Canonical Correlation Analysis for Multiview Data Representation-Reference-Cited by-同舟云学术

Similarity Distance-Based Kernel Canonical Correlation Analysis for Multiview Data Representation

Published:2021-11-23 Issue: Volume: Page:649-660
ISSN:2367-3370
Container-title:Proceedings of International Conference on Data Science and Applications
language:
Short-container-title:

Author:

Gupta Surendra,Thakar Urjita,Tokekar Sanjiv

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-5348-3_52

Reference18 articles.

1. Hardoon, D.R., Szedmak, S., Shawe-Taylor, J.: Canonical correlation analysis: an overview with application to learning methods. Neural Comput. 16(12), 2639–2664 (2004). https://doi.org/10.1162/0899766042321814

2. Li, Y., Yang, M., Zhang, Z.: A survey of multi-view representation learning. IEEE Trans. Knowl. Data Eng. 31(10), 1863–1883 (2019). https://doi.org/10.1109/TKDE.2018.2872063

3. Zhao, J., Xie, X., Xu, X., Sun, S.: Multi-view learning overview: recent progress and new challenges. Inf. Fusion 38, 43–54 (2017). https://doi.org/10.1016/j.inffus.2017.02.007

4. Guo C., Wu, D.: Canonical correlation analysis (cca) based multi-view learning: an overview. arXiv preprint arXiv:1907.01693, July 2019. abs/1907.01693

5. Hotelling, Harold.: Relations between two sets of variates. Biometrika 28(3–4), 321–377 (1936). https://doi.org/10.1093/biomet/28.3-4.321

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Semantic deep learning and adaptive clustering for handling multimodal multimedia information retrieval;Multimedia Tools and Applications;2024-05-25

2. INTERPRETABLE LEARNING-BASED MULTI-MODAL HASHING ANALYSIS FOR MULTI-VIEW FEATURE REPRESENTATION LEARNING;2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR);2022-08