Feature-based Aggregation

Feature-Based Aggregation is a state aggregation method that partitions states based on shared characteristics or attributes derived from feature representations, distinguishing it from other state aggregation approaches by its reliance on explicit feature mappings to define groupings.

25

Publications

1.5K

Citations

100

Authors

56

Institutions

Publications per year

2017–2026

19

Authors

100

  1. YF
    Yang Fu

    University of Electronic Science and Technology of China, China

    2 publications · 63 citations

    2

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  2. KA
    Khairun Azizi Azizli

    Universiti Teknologi Petronas, Malaysia

    2 publications · 70 citations

    2

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  3. JH
    Junwei Han

    Northwestern Polytechnical University, China

    2 publications · 85 citations

    2

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  4. TS
    Thomas S. Huang

    University of Illinois Urbana-Champaign, United States

    2 publications · 63 citations

    2

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  5. DL
    Ding Liu

    University of Illinois Urbana-Champaign, United States

    2 publications · 63 citations

    2

    h-index

1–5 of 100

Venues

  1. Biomedical Signal Processing and Control

    1 publications · 106 citations

    1

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  2. 1

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  3. Expert Systems with Applications

    1 publications · 48 citations

    1

    h-index

  4. 1

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  5. Information Fusion

    1 publications · 36 citations

    1

    h-index

1–5