Aggregate Feature Statistics

Aggregate Feature Statistics is a computational method in feature aggregation that quantifies and summarizes higher-order statistical properties of local features to form a compact, discriminative global representation.

19

Publications

858

Citations

67

Authors

45

Institutions

Publications per year

2017–2026

10

Authors

67

  1. SG
    Svitlana Gadetska

    Kharkiv National University of Radio Electronics, Ukraine

    2 publications · 44 citations

    2

    h-index

  2. AS
    Anders Søgaard

    University of Copenhagen, Denmark

    2 publications · 82 citations

    2

    h-index

  3. NV
    Nataliia Vlasenko

    Simon Kuznets Kharkiv National University of Economics, Ukraine

    2 publications · 44 citations

    2

    h-index

  4. VG
    Volodymyr Gorokhovatskyi

    Kharkiv National University of Radio Electronics, Ukraine

    2 publications · 44 citations

    2

    h-index

  5. SG
    Seung Geol Choi

    United States Naval Academy, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 67

Venues

  1. arXiv (Cornell University)

    Repository · 1 publications · 27 citations

    1

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 1 publications · 63 citations

    1

    h-index

  3. Scientific Reports

    1 publications · 18 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5