DBScholar

Back to papers

Similarity Search on Bregman Divergence: Towards Non-Metric Indexing

Summary: Enables nearest-neighbor and range indexing for non-metric Bregman divergences, including KL and Itakura–Saito, without symmetry or triangle inequality. Maps points to an extended space, adapting R-trees/VA-files with tighter bounds and distribution-aware optimization. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10091
Venue
VLDB
Year
2009
Pagerank
5.5628618e-05
Overall Rank
7,708 | 47.12%
DOI
10.14778/1687627.1687630

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhang_vldb09,
        title = {{Similarity Search on Bregman Divergence: Towards Non-Metric Indexing}},
        author = {Zhang, Zhenjie and Ooi, Beng Chin and Parthasarathy, Srinivasan and Tung, Anthony K.H.},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687630},
        url = {https://doi.org/10.14778/1687627.1687630},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers