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Approximate nearest neighbors: towards removing the curse of dimensionality |
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AbstractThe nearest neighbor problem is the following: Given a set of n points P in some metric space X, preprocess P so as to efficiently answer queries which require finding the point in P closest to the query point q in X. We focus on the particularly interesting case of the d-dimensional Euclidean space where X = R-d under some l-p norm.
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