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Sampling Techniques for the Nystr¨om Method Sanjiv Kumar Google Research
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Document Date: 2010-06-01 18:50:49

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City

Improved Kernel / Asuncion / Clearwater Beach / Newman / /

Company

Support-Vector Networks / Xk2F kG / Google / kF kG / E kG / nGii (29) kG / /

Country

United States / /

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Facility

Ameet Talwalkar Courant Institute / Mehryar Mohri Courant Institute / /

IndustryTerm

approximation algorithm / transductive regression algorithms / large-scale learning applications / spectral energy / attractive solution / /

OperatingSystem

Petros / /

Organization

Mehryar Mohri Courant Institute / New York State office of Science Technology and Academic Research / NYU / Pattern Analysis and Machine Intelligence / /

Person

James T. Kwok / Silva / Serge Belongie / Terence Sim / Christopher K. I. Williams / Chung / Mehryar Mohri / Maan Bsat / Corinna Cortes / Isabelle Guyon / Ravi Kannan / Santosh Vempala / Sanjiv Kumar / Bernhard E. Boser / Patrick S. Huggins / Bt / Luis Rademacher / Dmitry Pechyony / John C. Platt / Bernhard Sch¨olkopf / Grant Wang / Petros Drineas / Simon Baker / Ashish Rastogi / Matthias Seeger / Alexander Smola / Eleni Drinea / Vladimir N. Vapnik / Yann LeCun / Henry Rowley / Kai Zhang / Ameet Talwalkar / Ivor W. Tsang / Michael W. Mahoney / Jitendra Malik / Joshua B. Tenenbaum / /

Product

Pentax K-x Digital Camera / Corollary 1 / /

ProvinceOrState

Alberta / Florida / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Machine Learning / Journal of Machine Learning Research / /

Technology

Genomics / machine learning / SVD approximation algorithm / artificial intelligence / transductive regression algorithms / Monte-Carlo algorithm / training algorithm / Gesture Recognition / Monte Carlo Algorithms / /

URL

http /