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Multi-view Orthonormalized Partial Least Squares: Regularizations and Deep Extensions

Li Wang The University of Texas at Arlington Ren-Cang Li The University of Texas at Arlington Wen-Wei Lin National Chiao Tung University

Numerical Analysis and Scientific Computing Numerical Linear Algebra Optimization and Control Machine Learning mathscidoc:2309.41001

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 34, (8), 4371-4385, 2023.8
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Deep learning, multiview learning, orthonormalized partial least squares (OPLSs), regularization, subspace learning
[ Download ] [ 2023-09-25 00:50:51 uploaded by rcli ] [ 890 downloads ] [ 0 comments ] 
@inproceedings{li2023multi-view,
  title={Multi-view Orthonormalized Partial Least Squares:  Regularizations and Deep Extensions},
  author={Li Wang, Ren-Cang Li, and Wen-Wei Lin},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20230925005051278340756},
  booktitle={IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS},
  volume={34},
  number={8},
  pages={4371-4385},
  year={2023},
}
Li Wang, Ren-Cang Li, and Wen-Wei Lin. Multi-view Orthonormalized Partial Least Squares: Regularizations and Deep Extensions. 2023. Vol. 34. In IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. pp.4371-4385. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20230925005051278340756.
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