Locality-sensitive Filtering

Locality-Sensitive Filtering is a hash-based indexing method that distinguishes itself by enabling approximate nearest neighbor search through the prioritization of candidate points likely to be in proximity to the query, based on shared hash bucket assignments across multiple filtering tables.

23

Publications

1.3K

Citations

75

Authors

50

Institutions

Publications per year

2017–2026

6

Authors

75

  1. NG
    Nicolas Gama

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 359 citations

    2

    h-index

  2. TC
    Tobias Christiani

    IT University of Copenhagen, Denmark

    2 publications · 34 citations

    2

    h-index

  3. LD
    Léo Ducas

    Centrum Wiskunde & Informatica, Netherlands

    2 publications · 359 citations

    2

    h-index

  4. HF
    Hamido Fujita

    Iwate Prefectural University, Japan

    1 publications · 92 citations

    1

    h-index

  5. UR
    U. Raghavendra

    Manipal Academy of Higher Education, India

    1 publications · 92 citations

    1

    h-index

1–5 of 75

Venues

  1. IEEE Transactions on Computers

    2 publications · 82 citations

    2

    h-index

  2. Allerton Conference on Communication, Control, and Computing

    Conference · 1 publications · 42 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 23 citations

    1

    h-index

  4. Optik

    1 publications · 26 citations

    1

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 16 citations

    1

    h-index

1–5