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Improving Adaptable Similarity Query Processing by Using Approximations

Summary: Conservative approximations cut exact distance computations for adaptable quad-form similarity, enabling efficient kNN with no false drops. Experiments on synthetic data and a 112k-image color database show up to 6× speedups with multidimensional indexes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8489
Venue
VLDB
Year
1998
Pagerank
5.2892937e-05
Overall Rank
5,882 | 59.09%
DOI
-

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