Statistical Feature Aggregation

Statistical Feature Aggregation is a feature aggregation method that belongs to the class of techniques computing pooled descriptors through statistical measures—such as mean, variance, or higher-order moments—over local features, distinguishing itself by summarizing spatially distributed feature activations into compact, global representations using statistical summarization.

13

Publications

337

Citations

56

Authors

37

Institutions

Publications per year

2017–2026

7

Authors

56

  1. VG
    Volodymyr Gorokhovatskyi

    Kharkiv National University of Radio Electronics, Ukraine

    3 publications · 56 citations

    3

    h-index

  2. SG
    Svitlana Gadetska

    Kharkiv National University of Radio Electronics, Ukraine

    3 publications · 56 citations

    3

    h-index

  3. NV
    Nataliia Vlasenko

    Simon Kuznets Kharkiv National University of Economics, Ukraine

    2 publications · 44 citations

    2

    h-index

  4. MS
    Mohammad Subhi Al-Batah

    Jadara University, Jordan

    1 publications · 43 citations

    1

    h-index

  5. KA
    Khairun Azizi Azizli

    Universiti Teknologi Petronas, Malaysia

    1 publications · 43 citations

    1

    h-index

1–5 of 56

Venues

  1. Scientific Reports

    2 publications · 63 citations

    2

    h-index

  2. Radio Electronics Computer Science Control

    1 publications · 19 citations

    1

    h-index

  3. International Journal of Mineral Processing

    1 publications · 43 citations

    1

    h-index

  4. International Journal of Computer Vision

    1 publications · 20 citations

    1

    h-index

  5. BioMed Research International

    1 publications · 40 citations

    1

    h-index

1–5