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Reductions among high dimensional proximity problems

Published: 09 January 2001 Publication History

Abstract

We present improved running times for a wide range of approximate high dimensional proximity problems. We obtain subquadratic running time for each of these problems. These improved running times are obtained by reduction to Nearest Neighbour queries. The problems we consider in this paper are Approximate Diameter, Approximate Furthest Neighbours, Approximate Discrete Center, Approximate Metric Facility Location, Approximate Bottleneck Matching, and Approximate Minimum Weight Matching.

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cover image ACM Conferences
SODA '01: Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
January 2001
937 pages
ISBN:0898714907

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Society for Industrial and Applied Mathematics

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Published: 09 January 2001

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Overall Acceptance Rate 411 of 1,322 submissions, 31%

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  • (2015)Approximate Furthest Neighbor in High DimensionsProceedings of the 8th International Conference on Similarity Search and Applications - Volume 937110.1007/978-3-319-25087-8_1(3-14)Online publication date: 12-Oct-2015
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  • (2014)Smallest enclosing ball for probabilistic dataProceedings of the thirtieth annual symposium on Computational geometry10.1145/2582112.2582114(214-223)Online publication date: 8-Jun-2014
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