Feature-based Matching

Feature-Based Matching is a method within the field of message matching that identifies correspondences between messages by comparing their extracted syntactic, semantic, or structural features to determine similarity.

232

Publications

10.3K

Citations

725

Authors

277

Institutions

Publications per year

2017–2026

90

Authors

725

  1. YY
    Yang Yang

    Yunnan Normal University, China

    4 publications · 72 citations

    4

    h-index

  2. CT
    Corey Toler‐Franklin

    Princeton University, United States

    3 publications · 114 citations

    3

    h-index

  3. LB
    Luigi Barazzetti

    Politecnico di Milano, Italy

    3 publications · 115 citations

    3

    h-index

  4. TW
    Tim Weyrich

    University College London, United Kingdom

    3 publications · 114 citations

    3

    h-index

  5. BJ
    Benedict J. Brown

    Princeton University, United States

    3 publications · 114 citations

    3

    h-index

1–5 of 725

Venues

  1. Remote Sensing

    6 publications · 90 citations

    6

    h-index

  2. 6

    h-index

  3. arXiv (Cornell University)

    Repository · 5 publications · 109 citations

    5

    h-index

  4. 5

    h-index

  5. Sensors

    5 publications · 157 citations

    5

    h-index

1–5