Learning Canonical $\mathcal{F}$-Correlation Projection for Compact Multiview Representation

Author:

Yuan Yun-Hao1,Lil Jin1,Lil Yun1,Qiang Jipeng1,Zhu Yi1,Shen Xiaobo2,Gou Jianping3

Affiliation:

1. Yangzhou University,School of Information Engineering,Yangzhou,China

2. Nanjing University of Science and Technology,School of Computer Science,Nanjing,China

3. Jiangsu University,School of Computer Science and Communication Engineering,Zhenjiang,China

Publisher

IEEE

Cited by 5 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. Class-structure preserving multi-view correlated discriminant analysis for multiblock data;International Journal of Machine Learning and Cybernetics;2024-07-02

2. Learning Spectral Canonical ℱ-Correlation Representation for Face Super-Resolution;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Many Is Better Than One: Multiple Covariation Learning for Latent Multiview Representation;Communications in Computer and Information Science;2023-11-26

4. Learning Supervised Covariation Projection Through General Covariance;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

5. MetaViewer: Towards A Unified Multi-View Representation;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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