Title

Approximate nearest neighbor search for low-dimensional queries

Abstract

We study the approximate nearest neighbor problem for metric spaces where the query points are constrained to lie on a subspace of low doubling dimension, while the data is high dimensional. We show that this problem can be solved efficiently despite the high dimensionality of the data. © 2013 Society for Industrial and Applied Mathematics.

Publication Title

SIAM Journal on Computing

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