Universal Indexing of Arbitrary Similarity Models
Summary: SIMDEX automatically discovers indexing strategies for arbitrary similarity models, including nonmetric ones, rather than assuming a metric space. It incrementally explores candidate techniques and empirically outperforms established similarity-search indexes. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Tomáš Bartoš (Charles University in Prague)
BibTeX Citation
@article{bartos_vldb13,
title = {{Universal Indexing of Arbitrary Similarity Models}},
author = {Bartoš, Tomáš},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {12},
pages = {1392--1395},
doi = {10.14778/2536274.2536324},
url = {https://doi.org/10.14778/2536274.2536324},
year = {2013}
}
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