Selecting Closest Vectors Through Randomization
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CitationBosley, Carl and Michael O. Rabin. 2000. Selecting Closest Vectors Through Randomization. Harvard Computer Science Group Technical Report TR-01-00.
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.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:23017120
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