Feature Averaging

Feature Averaging is a feature aggregation method that computes the arithmetic mean of a set of feature vectors to produce a single representative feature vector, distinguishing itself by its simplicity and invariance to the order of input features.

20

Publications

990

Citations

70

Authors

36

Institutions

Publications per year

2017–2026

6

Authors

70

  1. CR
    C. Riethmueller

    ABT Molecular Imaging (United States), United States

    1 publications · 32 citations

    1

    h-index

  2. PH
    Peter Hinterdorfer

    Johannes Kepler University of Linz, Austria

    1 publications · 32 citations

    1

    h-index

  3. PK
    Pradeep K. Luther

    Imperial College London, United Kingdom

    1 publications · 12 citations

    1

    h-index

  4. GK
    Gerald Kada

    Johannes Kepler University of Linz, Austria

    1 publications · 32 citations

    1

    h-index

  5. AB
    Adriaan B. Houtsmuller

    Erasmus MC, Netherlands

    1 publications · 15 citations

    1

    h-index

1–5 of 70

Venues

  1. BMC Bioinformatics

    1 publications · 15 citations

    1

    h-index

  2. Atmospheric Environment Part A General Topics

    1 publications · 25 citations

    1

    h-index

  3. 1

    h-index

  4. Medical Physics

    1 publications · 29 citations

    1

    h-index

  5. Journal of Classification

    1 publications · 79 citations

    1

    h-index

1–5