ATLAS: A Probabilistic Algorithm for High Dimensional Similarity Search
Summary: ATLAS: probabilistic high-dimensional similarity search for binary vectors. Employs truly random permutations to filter candidates and estimate similarity, achieving 97.5% recall and up to 100x speedups over exact/approx methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiaqi Zhai (Cornell University)
- 2. Yin Lou (Cornell University)
- 3. Johannes Gehrke (Cornell University)
BibTeX Citation
@inproceedings{zhai_sigmod11,
title = {{ATLAS: A Probabilistic Algorithm for High Dimensional Similarity Search}},
author = {Zhai, Jiaqi and Lou, Yin and Gehrke, Johannes},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989428},
url = {https://dl.acm.org/doi/10.1145/1989323.1989428},
year = {2011}
}
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 46 | A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces | 1998 | VLDB | 0.00044853085 |
| 169 | Efficient Exact Set-Similarity Joins | 2006 | VLDB | 0.0002743469 |
| 200 | Efficient set joins on similarity predicates | 2004 | SIGMOD | 0.00025597287 |
| 351 | CURE: An Efficient Clustering Algorithm for Large Databases | 1998 | SIGMOD | 0.00020424271 |
| 356 | Efficient Parallel Set-Similarity Joins Using MapReduce | 2010 | SIGMOD | 0.00020303289 |
| 4,657 | Finding Near Neighbors Through Cluster Pruning | 2007 | PODS | 6.5830079e-05 |
| 6,646 | On the Effects of Dimensionality Reduction on High Dimensional Similarity Search | 2001 | PODS | 5.8148791e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,240 | Randomized Algorithms Accelerated over CPU-GPU for Ultra-High Dimensional Similarity Search | 2018 | SIGMOD |
| 2 | 3,548 | Efficient Subgraph Similarity Search on Large Probabilistic Graph Databases | 2012 | VLDB |
| 3 | 1,776 | Efficient User-Adaptable Similarity Search in Large Multimedia Databases | 1997 | VLDB |
| 4 | 12,371 | Effective Data Co-Reduction for Multimedia Similarity Search | 2011 | SIGMOD |
| 5 | 46 | A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces | 1998 | VLDB |
| 6 | 3,310 | Similarity Query Processing for High-Dimensional Data | 2020 | VLDB |
| 7 | 690 | Efficient Similarity Search and Classification via Rank Aggregation | 2003 | SIGMOD |
| 8 | 6,093 | High-Dimensional Vector Similarity Search: From Time Series to Deep Network Embeddings | 2020 | SIGMOD |
| 9 | 3,265 | New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed | 2021 | VLDB |
| 10 | 21 | Similarity Search in High Dimensions via Hashing | 1999 | VLDB |