Feature-to-decision Mapping

Feature-To-Decision Mapping is a late fusion strategy that integrates extracted features from multiple modalities by directly transforming them into a final decision through a learned or predefined mapping function, thereby distinguishing itself from intermediate fusion approaches by operating at the decision level rather than the feature or score level.

4

Publications

525

Citations

14

Authors

5

Institutions

Publications per year

2017–2026

2

Authors

14

  1. YL
    Ye Liu

    University of Science and Technology of China, China

    1 publications · 42 citations

    1

    h-index

  2. XW
    Xizhao Wang

    Shenzhen University, China

    1 publications · 42 citations

    1

    h-index

  3. DZ
    David Zhang

    Hong Kong Polytechnic University, Hong Kong SAR China

    1 publications · 457 citations

    1

    h-index

  4. JL
    Jian-feng Lu

    Hong Kong Polytechnic University, Hong Kong SAR China

    1 publications · 457 citations

    1

    h-index

  5. JY
    Jian Yang

    Nanjing University of Science and Technology, China

    2 publications · 914 citations

    1

    h-index

1–5 of 14

Venues

  1. 1

    h-index

  2. Pattern Recognition

    1 publications · 457 citations

    1

    h-index

  3. Control Engineering Practice

    1 publications · 10 citations

1–3