PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search
Summary: PM-LSH uses a PM-tree index with a tunable confidence interval to enable fast, accurate c-ANN in high dimensions. An efficient algorithm atop the PM-tree prunes candidates and improves speed and accuracy over prior LSH. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Bolong Zheng (Huazhong University of Science and Technology)
- 2. Xi Zhao (Huazhong University of Science and Technology)
- 3. Lianggui Weng (Huazhong University of Science and Technology)
- 4. Nguyen Quoc Viet Hung (Griffith University)
- 5. Hang Liu (Stevens Institute of Technology)
- 6. Christian S. Jensen (Aalborg University)
BibTeX Citation
@article{zheng_vldb20,
title = {{PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search}},
author = {Zheng, Bolong and Zhao, Xi and Weng, Lianggui and Hung, Nguyen Quoc Viet and Liu, Hang and Jensen, Christian S.},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {5},
pages = {643--655},
doi = {10.14778/3377369.3377374},
url = {https://doi.org/10.14778/3377369.3377374},
year = {2020}
}
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