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DSH: Data Sensitive Hashing for High-Dimensional k-NN Search

Summary: DSH: Data Sensitive Hashing for high-dimensional k-NN search leverages data distributions to balance buckets and preserve NN relations. The method offers guarantees and remains orthogonal to indexing strategies, with practical efficiency on non-uniform data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4770
Venue
SIGMOD
Year
2014
Pagerank
7.6432146e-05
Overall Rank
3,056 | 78.75%
DOI
10.1145/2588555.2588565

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