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Linear-time Algorithms for Pairwise Statistical Problems Parikshit Ram
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Document Date: 2009-09-12 18:13:20

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File Size: 130,85 KB

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City

Cambridge / Multiresolution Instance / Baltimore / /

Company

Neural Information Processing Systems / MIT Press / /

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Facility

Johns Hopkins University / Engineering Georgia Institute of Technology Atlanta / /

IndustryTerm

dual-tree algorithm / approximation algorithm / dual-tree algorithms / tree-based algorithms / dual tree algorithm / kernel summation algorithms / dual-tree all-nearest-neighbors algorithm / point search / nearest neighbor algorithm / batch query algorithm / nearest neighbor search / /

Organization

Pairwise Statistical Problems Parikshit Ram Computational Science and Engineering Georgia Institute of Technology Atlanta / Gray Computational Science and Engineering Georgia Institute of Technology Atlanta / B. March Computational Science and Engineering Georgia Institute of Technology Atlanta / MIT / Johns Hopkins University / Dongryeol Lee Computational Science and Engineering Georgia Institute of Technology Atlanta / /

Person

Lee Computational / William B. March Computational / Alexander Gray Computational / /

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ProvinceOrState

Maryland / Georgia / Massachusetts / /

PublishedMedium

Journal of the ACM / Journal of Computational Chemistry / Journal of Computational Physics / Theory of Computing / /

Technology

kernel summation algorithms / dual tree algorithm / randomized algorithm / Force-Calculation Algorithm / Linear-time Algorithms / artificial intelligence / dual-tree algorithm / approximation algorithm / dual-tree all-nearest-neighbors algorithm / batch query algorithm / nearest neighbor algorithm / Computational Chemistry / Data Mining / proposed algorithms / 3 Algorithm / machine learning / simulation / tree-based algorithms / Dual-Tree Algorithms / FindAllNN algorithm / Tree Approximate Kernel Summations Under Absolute Error The algorithm / 4.2 Dual Tree Approximate Kernel Summations Under Absolute Error An algorithm / /

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