Selecting Closest Vectors Through Randomization
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Bosley, Carl and Michael O. Rabin. 2000. Selecting Closest Vectors Through Randomization. Harvard Computer Science Group Technical Report TR-01-00.Abstract
We 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.Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAACitable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:23017120
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