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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)

Paper ID
4449
Venue
SIGMOD
Year
2011
Pagerank
9.7519678e-05
Overall Rank
2,024 | 85.93%
DOI
-

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