Concepedia

Semi-supervised Metric Learning

Semi-Supervised Metric Learning is a subcategory of metric learning methods that leverages both labeled and unlabeled data to learn a distance function, distinguishing itself from purely supervised or unsupervised approaches by incorporating limited supervision in the form of sparse label information to guide the similarity structure.

123

Publications

10.3K

Citations

348

Authors

175

Institutions

Publications per year

2017–2026

47

Parents

Publications

123

Semi-Supervised Hashing for Large-Scale Search

Jun Wang, Sanjiv Kumar, Shih‐Fu Chang · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2012 · 852 citations

, , +14

Integrating constraints and metric learning in semi-supervised clustering

Mikhail Bilenko, Sugato Basu, Raymond J. Mooney · 2004 · 851 citations

, , +15

Semi-Supervised Learning on Riemannian Manifolds

Mikhail Belkin, Partha Niyogi · Machine Learning · 2004 · 807 citations · Full text

, , +11

Metric Learning: A Survey

Brian Kulis · Foundations and Trends® in Machine Learning · 2013 · 648 citations

, , +11

Semi-supervised hashing for scalable image retrieval

Jun Wang, Sanjiv Kumar, Shih‐Fu Chang · 2010 · 631 citations

, , +15

1–5 of 123

Authors

348

  1. IS
    Inderjit S. Dhillon

    The University of Texas at Austin, United States

    5 publications · 330 citations

    5

    h-index

  2. DY
    Dit‐Yan Yeung

    Hong Kong University of Science and Technology, Hong Kong SAR China

    5 publications · 266 citations

    5

    h-index

  3. SC
    Steven C. H. Hoi

    Nanyang Technological University, Singapore

    4 publications · 451 citations

    4

    h-index

  4. HC
    Hong Chang

    Institute of Computing Technology, China

    4 publications · 237 citations

    4

    h-index

  5. BK
    Brian Kulis

    The University of Texas at Austin, United States

    4 publications · 873 citations

    4

    h-index

1–5 of 348

Institutions

175

  1. Nanyang Technological University

    Singapore, Singapore

    9 h-index

    14 publications

    797 citations

  2. The University of Texas at Austin

    Austin, United States

    7 h-index

    13 publications

    3.1K citations

  3. Chinese Academy of Sciences

    Beijing, China

    6 h-index

    9 publications

    313 citations

  4. Hong Kong University of Science and Technology

    Hong Kong, Hong Kong

    5 h-index

    10 publications

    532 citations

  5. Columbia University

    New York, United States

    5 h-index

    9 publications

    2.9K citations

  6. Nanjing University of Aeronautics and Astronautics

    Nanjing, China

    4 h-index

    9 publications

    907 citations

  7. Chinese University of Hong Kong

    Hong Kong, Hong Kong

    4 h-index

    8 publications

    228 citations

  8. The Ohio State University

    Columbus, United States

    4 h-index

    9 publications

    905 citations

1–8 of 175

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 698 citations

    9

    h-index

  2. Neurocomputing

    6 publications · 325 citations

    6

    h-index

  3. Pattern Recognition

    6 publications · 347 citations

    6

    h-index

  4. Knowledge-Based Systems

    4 publications · 170 citations

    4

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 174 citations

    4

    h-index

1–5