| Document Date: 2013-01-07 18:40:32
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City Toledo / Avron / Hadamard / Maymounkov / Troy / San Jose / / Company IBM / Basic Approach / Amazon / ST / / Event Product Recall / Product Issues / / Facility Computer Science Rensselaer Polytechnic Institute / / IndustryTerm linear sampling operator / deterministic algorithms / dot products / na¨ıve algorithm / software library / basic randomized matrix algorithms / randomized algorithms / randomized matrix algorithms / sensor networks / scientific computing areas / projection algorithms / matrix product / improved worst-case randomized matrix algorithms / large-scale statistical data analysis applications / dot product / random projection algorithm / random sampling algorithms / random projection algorithms / energy / / OperatingSystem Petros / / Organization COM IBM Almaden Research Center / EDU Department / Rensselaer Polytechnic Institute / Stanford University Stanford / / Person David P. Woodruff / Petros Drineas / Malik Magdon-Ismail / Johnson-Lindenstrauss Transform / Michael W. Mahoney / / Position Editor / / Product way.5 / / ProgrammingLanguage L / C / / ProvinceOrState New York / California / / PublishedMedium Journal of Machine Learning Research / / Technology random projection algorithm / basic randomized matrix algorithms / main algorithm / randomized matrix algorithms / deterministic QR algorithms / random projection algorithms / randomized algorithm / LSRN algorithm / Blendenpik algorithm / na¨ıve algorithm / time algorithm / previously existing algorithm / SNP / Machine Learning / corresponding random projection algorithm / random sampling algorithms / improved worst-case randomized matrix algorithms / projection algorithms / /
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Journal of Machine Learning Research3472 Submitted 7/12; PublishedFast Approximation of Matrix Coherence and Statistical Leverage Petros Drineas