Patch-based Feature Extraction

Patch-Based Feature Extraction is a feature engineering method that involves partitioning an image into localized regions, or patches, to extract discriminative spatial patterns and textures specific to each subregion, thereby enabling fine-grained representation learning.

190

Publications

11.4K

Citations

707

Authors

306

Institutions

Publications per year

2017–2026

94

Authors

707

  1. DF
    Dagan Feng

    The University of Sydney, Australia

    5 publications · 410 citations

    5

    h-index

  2. UR
    U. Rajendra Acharya

    Ngee Ann Polytechnic, Singapore

    4 publications · 140 citations

    4

    h-index

  3. WC
    Weidong Cai

    The University of Sydney, Australia

    4 publications · 272 citations

    4

    h-index

  4. SL
    Shang‐Hong Lai

    National Tsing Hua University, Taiwan

    3 publications · 229 citations

    3

    h-index

  5. TT
    Türker Tuncer

    Fırat University, Türkiye

    3 publications · 98 citations

    3

    h-index

1–5 of 707

Venues

  1. IEEE Transactions on Image Processing

    12 publications · 903 citations

    12

    h-index

  2. arXiv (Cornell University)

    Repository · 9 publications · 246 citations

    9

    h-index

  3. IEEE Access

    6 publications · 157 citations

    6

    h-index

  4. Pattern Recognition

    5 publications · 217 citations

    5

    h-index

  5. 5

    h-index

1–5