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Universal Indexing of Arbitrary Similarity Models

Summary: SIMDEX: universal indexing framework for arbitrary similarity models beyond metric spaces. Incremental exploration discovers alternative indexing techniques to enable efficient, effective similarity search for nonmetric models, outperforming traditional metric-space methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10623
Venue
VLDB
Year
2013
Pagerank
-
Overall Rank
13,451 | 6.43%
DOI
-

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