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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: 2012-09-28 23:24:23

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City

Edmonton / Edinburgh / /

Company

SIAM Journal / Cox / Sun / Meboo Publishing / /

Country

United Kingdom / Scotland / Jordan / /

Facility

University of Alberta / /

IndustryTerm

minimumrank solutions / computing / singular value thresholding algorithm / /

OperatingSystem

L3 / /

Organization

University of Alberta / Dale Schuurmans Department of Computing Science / /

Person

Silva / V / Ryan Kiros / Dale Schuurmans / James Neufeld / Sha / /

Position

author / aide / representative / Bishop / /

ProvinceOrState

Alberta / /

PublishedMedium

Journal of Machine Learning Research / Machine Learning / /

Technology

singular value thresholding algorithm / dom / Machine Learning / /

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