Efficient and Effective Similarity Search over Probabilistic Data based on Earth Mover's Distance
Summary: Similarity search on probabilistic data via Earth Mover’s Distance (EMD); range and kNN queries on probabilistic histograms. Primal–dual LP theory with B+ tree indexing enables effective candidate pruning, yielding dramatic scalability gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jia Xu
- 2. Zhenjie Zhang
- 3. Anthony K.H. Tung
- 4. Ge Yu
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,774 | Efficient Exact Edit Similarity Query Processing with the Asymmetric Signature Scheme | 2011 | SIGMOD | 6.7757301e-05 |
| 5,326 | Earth Mover's Distance based Similarity Search at Scale | 2014 | VLDB | 5.5680074e-05 |
| 6,074 | Pigeonring: A Principle for Faster Thresholded Similarity Search | 2019 | VLDB | 5.2242306e-05 |
| 6,320 | Indexing the Earth Mover's Distance Using Normal Distributions | 2012 | VLDB | 5.1129965e-05 |
| 9,308 | Optimal Spatial Dominance: An Effective Search of Nearest Neighbor Candidates | 2015 | SIGMOD | 4.3571035e-05 |
| 11,379 | Fast Dataset Search with Earth Mover’s Distance | 2022 | VLDB | 4.1945683e-05 |
| 11,535 | MP-RW-LSH: An Efficient Multi-Probe LSH Solution to ANNS-L1 | 2021 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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