Feature Summation

Feature Summation is a feature aggregation method that computes the combined representation of input features by applying element-wise addition, distinguishing itself from other aggregation techniques through its additive composition without normalization or weighting.

43

Publications

4.1K

Citations

138

Authors

69

Institutions

Publications per year

2017–2026

11

Authors

138

  1. NB
    Nigel Boston

    University of Wisconsin–Madison, United States

    3 publications · 50 citations

    3

    h-index

  2. DL
    Douglas L. Medin

    Northwestern University, United States

    2 publications · 279 citations

    2

    h-index

  3. AT
    Anna Thorwart

    Philipps University of Marburg, Germany

    2 publications · 23 citations

    2

    h-index

  4. JW
    Jianlong Wu

    Peking University, China

    2 publications · 765 citations

    2

    h-index

  5. ZL
    Zhouchen Lin

    Peking University, China

    2 publications · 765 citations

    2

    h-index

1–5 of 138

Venues

  1. Vision Research

    4 publications · 147 citations

    4

    h-index

  2. IEEE Geoscience and Remote Sensing Letters

    GRSL · 2 publications · 103 citations

    2

    h-index

  3. IEEE Access

    2 publications · 36 citations

    2

    h-index

  4. 2

    h-index

  5. FedUni ResearchOnline (Federation University Australia)

    Repository · 1 publications · 17 citations

    1

    h-index

1–5