A Self-Consistent-Field Iteration for Orthogonal Canonical Correlation Analysis

Lei-Hong Zhang Soochow University Li Wang University of Texas at Arlington Zhaojun Bai University of California, Davis Ren-Cang Li University of Texas at Arlington

Numerical Analysis and Scientific Computing Numerical Linear Algebra Optimization and Control Machine Learning mathscidoc:2105.41008

IEEE Transactions on Pattern Analysis and Machine Intelligence, 44, (2), 890-904, 2022.2
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@inproceedings{lei-hong2022a,
  title={A Self-Consistent-Field Iteration for Orthogonal Canonical Correlation Analysis},
  author={Lei-Hong Zhang, Li Wang, Zhaojun Bai, and Ren-Cang Li},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20210507110521588386813},
  booktitle={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={44},
  number={2},
  pages={890-904},
  year={2022},
}
Lei-Hong Zhang, Li Wang, Zhaojun Bai, and Ren-Cang Li. A Self-Consistent-Field Iteration for Orthogonal Canonical Correlation Analysis. 2022. Vol. 44. In IEEE Transactions on Pattern Analysis and Machine Intelligence. pp.890-904. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20210507110521588386813.
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