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Similarity Search on Bregman Divergence: Towards Non-Metric Indexing

Summary: Index non-metric distances by embedding data into an extended space for Bregman divergences (KL, Itakura-Saito). Adapts R-tree/VA-file indexing with tighter bounds and distribution-aware optimizations for NN and range queries across dims. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9900
Venue
VLDB
Year
2009
Pagerank
4.6502309e-05
Overall Rank
7,791 | 45.80%
DOI
-

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