![Multivariate statistics / Dimension reduction / Matrix theory / Computational statistics / Linear algebra / Nonlinear dimensionality reduction / Bregman divergence / Semidefinite embedding / Principal component analysis / Statistics / Algebra / Mathematics Multivariate statistics / Dimension reduction / Matrix theory / Computational statistics / Linear algebra / Nonlinear dimensionality reduction / Bregman divergence / Semidefinite embedding / Principal component analysis / Statistics / Algebra / Mathematics](https://www.pdfsearch.io/img/c628fc5416bb7e8d4c4fac16e1ebd3e1.jpg) Date: 2013-12-26 22:59:57Multivariate 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 CanadaAdd to Reading ListSource URL: www.cs.toronto.eduDownload Document from Source Website File Size: 451,45 KBShare Document on Facebook
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