Machine Learning

[31] 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
[ Download ] [ 2021-05-07 11:05:21 uploaded by rcli ] [ 631 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[32] Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior

Feng Liu fliu22@stevens.edu Li Wang University of Texas at Arlington Yifei Lou University of Texas at Dallas Ren-Cang Li University of Texas at Arlington Patrick L. Purdon Harvard Medical School

Numerical Analysis and Scientific Computing Optimization and Control Machine Learning mathscidoc:2105.41007

IEEE Transactions on Medical Imaging, 40, (1), 321-334, 2021.4
[ Download ] [ 2021-05-07 10:30:16 uploaded by rcli ] [ 498 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[33] Orthogonal Canonical Correlation Analysis and Applications

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

Machine Learning mathscidoc:2105.41006

Optimization Methods and Software, 35, (4), 1098-1112, 2020.6
[ Download ] [ 2021-05-07 10:24:13 uploaded by rcli ] [ 640 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[34] Learning Low-dimensional Latent Graph Structures: A Density Estimation Approach

Li Wang University of Texas at Arlington Ren-Cang Li University of Texas at Arlington

Machine Learning mathscidoc:2105.41005

IEEE Transactions on Neural Networks and Learning Systems, 31, (4), 1098-1112, 2020.3
[ Download ] [ 2021-05-07 10:15:45 uploaded by rcli ] [ 998 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[35] Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation

Pei Chen South China University of Technology Rui Liu South China University of Technology Kazuyuki Aihara The University of Tokyo Luonan Chen Chinese Academy of Sciences

Machine Learning mathscidoc:2103.41001

Nature Communications, 11, (4568), 2020.9
[ Download ] [ 2021-03-23 10:33:26 uploaded by leoraymath ] [ 575 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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