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Selecting Closest Vectors Through Randomization

dash.depositing.authorRabin, Michael O.
dash.licenseLAA
dc.contributor.authorBosley, Carl
dc.contributor.authorRabin, Michael
dc.date.accessioned2015-10-06T14:29:59Z
dc.date.available2015-10-06T14:29:59Z
dc.date.issued2000
dc.description.abstractWe consider the problem of finding the closest vectors to a given vector in a large set of vectors, and propose a randomized solution. The method has applications in Automatic Target Recognition (ATR), Web Information Retrieval, and Data Mining.en_US
dc.description.sponsorshipEngineering and Applied Sciencesen_US
dc.description.versionVersion of Recorden_US
dc.identifier.citationBosley, Carl and Michael O. Rabin. 2000. Selecting Closest Vectors Through Randomization. Harvard Computer Science Group Technical Report TR-01-00.en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:23017120
dc.language.isoen_USen_US
dc.titleSelecting Closest Vectors Through Randomizationen_US
dc.typeResearch Paper or Reporten_US
dspace.entity.typePublication
oaire.licenseConditionLAA
relation.isAuthorOfPublication5705f8ce-62bc-4bac-ab15-bc411a9c2f99
relation.isAuthorOfPublication.latestForDiscovery5705f8ce-62bc-4bac-ab15-bc411a9c2f99

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