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)
Incoming Non-self Citations Over Time
Authors
- 1. Brian E. Ruttenberg (University of California Santa Barbara)
- 2. Ambuj K. Singh (University of California Santa Barbara)
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 |
|---|---|---|---|---|
| 5,558 | Earth Mover’s Distance based Similarity Search at Scale | 2014 | VLDB | 6.0703095e-05 |
| 11,935 | Fast Dataset Search with Earth Mover's Distance | 2022 | VLDB | 4.9605343e-05 |
| 12,446 | Supporting Data Uncertainty in Array Databases | 2015 | SIGMOD | 4.9605343e-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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0010688884 |
| 198 | Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases | 2001 | SIGMOD | 0.00025558119 |
| 481 | Fast Time Sequence Indexing for Arbitrary Lp Norms | 2000 | VLDB | 0.00017567157 |
| 3,424 | Efficient EMD-based Similarity Search in Multimedia Databases via Flexible Dimensionality Reduction | 2008 | SIGMOD | 7.2974683e-05 |
| 4,216 | Efficient and Effective Similarity Search over Probabilistic Data based on Earth Mover's Distance | 2010 | VLDB | 6.717297e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,900 | Indexing Uncertain Data | 2009 | PODS |
| 2 | 7,186 | Nearest Neighbor Searching Under Uncertainty II | 2013 | PODS |
| 3 | 11,935 | Fast Dataset Search with Earth Mover's Distance | 2022 | VLDB |
| 4 | 2,012 | Efficient Indexing Methods for Probabilistic Threshold Queries over Uncertain Data | 2004 | VLDB |
| 5 | 5,558 | Earth Mover’s Distance based Similarity Search at Scale | 2014 | VLDB |
| 6 | 1,520 | Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions | 2005 | VLDB |
| 7 | 7,607 | Effectively Indexing Uncertain Moving Objects for Predictive Queries | 2009 | VLDB |
| 8 | 1,641 | Efficient Search for the Top-k Probable Nearest Neighbors in Uncertain Databases | 2008 | VLDB |
| 9 | 4,828 | Nearest-Neighbor Searching Under Uncertainty | 2012 | PODS |
| 10 | 4,216 | Efficient and Effective Similarity Search over Probabilistic Data based on Earth Mover's Distance | 2010 | VLDB |