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Multivariate statistics / Dimension reduction / Matrix theory / Computational statistics / Linear algebra / Nonlinear dimensionality reduction / Bregman divergence / Semidefinite embedding / Principal component analysis / Statistics / Algebra / Mathematics


Regularizers versus Losses for Nonlinear Dimensionality Reduction Yaoliang Yu, James Neufeld, Ryan Kiros, Xinhua Zhang, Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8 Canada
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Document Date: 2013-12-26 22:59:57


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File Size: 451,45 KB

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