Feature Learning

Feature Learning is a machine learning methodology that automatically discovers the optimal representations of raw data by identifying and constructing task-relevant features without relying on hand-engineered descriptors.

3.7K

Publications

331.3K

Citations

11.3K

Authors

2.4K

Institutions

Publications per year

2017–2026

2.8K

Authors

11.3K

  1. MZ
    Mengjie Zhang

    Victoria University of Wellington, New Zealand

    22 publications · 980 citations

    18

    h-index

  2. BX
    Bing Xue

    Victoria University of Wellington, New Zealand

    19 publications · 719 citations

    16

    h-index

  3. YY
    Yi Yang

    University of Technology Sydney, Australia

    16 publications · 1.8K citations

    16

    h-index

  4. LJ
    Licheng Jiao

    Xidian University, China

    17 publications · 1.2K citations

    16

    h-index

  5. JY
    Jianbo Yu

    Tongji University, China

    15 publications · 1.1K citations

    16

    h-index

1–5 of 11.3K

Venues

  1. IEEE Access

    184 publications · 13K citations

    58

    h-index

  2. arXiv (Cornell University)

    Repository · 231 publications · 17.9K citations

    53

    h-index

  3. 45

    h-index

  4. IEEE Transactions on Image Processing

    61 publications · 5.9K citations

    38

    h-index

  5. 35

    h-index

1–5