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Indexing the Earth Mover’s Distance Using Normal Distributions

Summary: Accelerates EMD-based k-NN over uncertain data with a projection lower bound, approximating distributions as normals plus error. Embeds normals via a Hough transform and exploits stochastic dominance for scalable indexing, including heterogeneous datasets. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10659
Venue
VLDB
Year
2012
Pagerank
5.8560106e-05
Overall Rank
6,513 | 55.32%
DOI
10.14778/2078331.2078336

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ruttenberg_vldb12,
        title = {{Indexing the Earth Mover’s Distance Using Normal Distributions}},
        author = {Ruttenberg, Brian E. and Singh, Ambuj K.},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {3},
        pages = {205--216},
        doi = {10.14778/2078331.2078336},
        url = {https://doi.org/10.14778/2078331.2078336},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
5,407 Earth Mover’s Distance based Similarity Search at Scale 2014 VLDB 6.2281449e-05
11,577 Fast Dataset Search with Earth Mover's Distance 2022 VLDB 5.093636e-05
12,104 Supporting Data Uncertainty in Array Databases 2015 SIGMOD 5.093636e-05
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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.

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