Patch-based Aggregation

Patch-Based Aggregation is an aggregation metric that computes overall scores by combining local measurements derived from discrete subregions, or patches, of a dataset or image to capture spatially distributed patterns while preserving fine-grained structural information.

22

Publications

957

Citations

158

Authors

70

Institutions

Publications per year

2017–2026

14

Authors

158

  1. GY
    Gang Yu

    Central South University, China

    2 publications · 186 citations

    2

    h-index

  2. PA
    Pierre Auger

    Université Claude Bernard Lyon 1, France

    2 publications · 27 citations

    2

    h-index

  3. HD
    Hong‐Wen Deng

    Hunan Normal University, China

    2 publications · 186 citations

    2

    h-index

  4. JZ
    Jiantao Zhou

    University of Macau, Macao SAR China

    2 publications · 87 citations

    2

    h-index

  5. LS
    Li Shang

    Xi'an Jiaotong University, China

    2 publications · 186 citations

    2

    h-index

1–5 of 158

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 37 citations

    2

    h-index

  2. Mathematical and Computer Modelling

    1 publications · 12 citations

    1

    h-index

  3. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 17 citations

    1

    h-index

  4. Quaternary International

    1 publications · 16 citations

    1

    h-index

  5. Computers in Biology and Medicine

    1 publications · 22 citations

    1

    h-index

1–5