Concepedia

Distance Function Learning

Distance Function Learning is a subfield of Metric Learning that focuses on the algorithmic induction of an optimal distance metric from data, distinguished by its emphasis on learning the distance function itself rather than relying on predefined metrics.

91

Publications

7.5K

Citations

264

Authors

135

Institutions

Publications per year

2017–2026

27

Parents

Publications

91

From Word Embeddings To Document Distances

Matt J. Kusner, Yu Sun, Nicholas Kolkin et al. · PolyPublie (École Polytechnique de Montréal) · 2015 · 1.5K citations

, , +16

Learning string-edit distance

Eric Sven Ristad, P.N. Yianilos · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1998 · 868 citations

, , +12

Learning distance functions using equivalence relations

Aharon Bar-Hillel, Tomer Hertz, Noam Shental et al. · 2003 · 435 citations

, , +16

Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification

Shengcai Liao, Stan Z. Li · 2015 · 409 citations

, , +14

Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification

Andrea Frome, Yoram Singer, Fei Sha et al. · 2007 · 355 citations

, , +16

1–5 of 91

Authors

264

  1. DW
    Daphna Weinshall

    Hebrew University of Jerusalem, Israel

    4 publications · 676 citations

    4

    h-index

  2. TH
    Tomer Hertz

    Fred Hutch Cancer Center, United States

    4 publications · 688 citations

    4

    h-index

  3. AB
    Aharon Bar-Hillel

    Hebrew University of Jerusalem, Israel

    4 publications · 676 citations

    4

    h-index

  4. PY
    P.N. Yianilos

    Princeton University, United States

    3 publications · 922 citations

    3

    h-index

  5. ES
    Eric Sven Ristad

    Princeton University, United States

    3 publications · 922 citations

    3

    h-index

1–5 of 264

Institutions

135

  1. Hebrew University of Jerusalem

    Jerusalem, Israel

    5 h-index

    13 publications

    2.5K citations

  2. Chinese Academy of Sciences

    Beijing, China

    5 h-index

    12 publications

    1.4K citations

  3. Nanyang Technological University

    Singapore, Singapore

    4 h-index

    10 publications

    659 citations

  4. Universidad de Granada

    Granada, Spain

    3 h-index

    8 publications

    455 citations

  5. Michigan State University

    East Lansing, United States

    3 h-index

    6 publications

    550 citations

  6. University of Houston

    Houston, United States

    3 h-index

    11 publications

    426 citations

  7. Princeton University

    Princeton, United States

    3 h-index

    3 publications

    922 citations

  8. University of Manchester

    Manchester, United Kingdom

    2 h-index

    3 publications

    64 citations

1–8 of 135

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 138 citations

    5

    h-index

  2. Information Sciences

    3 publications · 233 citations

    3

    h-index

  3. Machine Learning

    3 publications · 165 citations

    3

    h-index

  4. Pattern Recognition

    3 publications · 93 citations

    3

    h-index

  5. Knowledge-Based Systems

    3 publications · 170 citations

    3

    h-index

1–5