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)
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Authors
- 1. Tomas Bartos
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