Continuous Space Representation

Continuous Space Representation is a spatial data model that represents geographic phenomena as a seamless, infinite field where each location in space is associated with a value, distinguished from discrete representations by its assumption of unbroken spatial continuity and infinite divisibility.

510

Publications

39.9K

Citations

1.4K

Authors

515

Institutions

Publications per year

2017–2026

170

Variants

Field ModelField-based Model

Authors

1.4K

  1. HS
    Holger Schwenk

    Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France

    6 publications · 837 citations

    6

    h-index

  2. YB
    Yoshua Bengio

    Université de Montréal, Canada

    5 publications · 2.5K citations

    5

    h-index

  3. BW
    Björn W. Schuller

    Imperial College London, United Kingdom

    5 publications · 571 citations

    5

    h-index

  4. NA
    Noah A. Smith

    Carnegie Mellon University, United States

    4 publications · 1.1K citations

    4

    h-index

  5. ZJ
    Zhe Jiang

    University of Alabama, United States

    4 publications · 73 citations

    4

    h-index

1–5 of 1.4K

Venues

  1. arXiv (Cornell University)

    Repository · 36 publications · 2.4K citations

    20

    h-index

  2. 10

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 8 publications · 520 citations

    8

    h-index

  4. The Journal of Chemical Physics

    5 publications · 394 citations

    5

    h-index

  5. IEEE Access

    5 publications · 116 citations

    5

    h-index

1–5