Missing-view Construction

Missing-View Construction is a methodological framework in multimodal data analysis that systematically infers or synthesizes absent modalities or views in incomplete datasets by leveraging correlations and redundancies across available views.

3

Publications

69

Citations

11

Authors

10

Institutions

Publications per year

2017–2026

2

Authors

11

  1. CD
    Changying Du

    Chinese Academy of Sciences, China

    2 publications · 59 citations

    2

    h-index

  2. HH
    Huiguang He

    Chinese Academy of Sciences, China

    2 publications · 59 citations

    2

    h-index

  3. CD
    Changde Du

    Chinese Academy of Sciences, China

    2 publications · 59 citations

    2

    h-index

  4. JG
    James G. Beeson

    Burnet Institute, Australia

    1 publications · 10 citations

    1

    h-index

  5. RM
    Robert Ménard

    Institut Pasteur, France

    1 publications · 10 citations

    1

    h-index

1–5 of 11

Venues

  1. Nature

    1 publications · 10 citations

    1

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 15 citations

    1

    h-index

1–2