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
Parents
510
A discrete binary version of the particle swarm algorithm
James Kennedy, R.C. Eberhart · 2002 · 4.7K citations
DeepWalk: Online Learning of Social Representations
arXiv (Cornell University) · 2014 · 1.1K citations · Full text
Learning Structured Embeddings of Knowledge Bases
Antoine Bordes, Jason Weston, Ronan Collobert et al. · 2011 · 861 citations · Full text
1–5 of 510
1.4K
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France
6 publications · 837 citations
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5
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5
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4
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4
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1–5 of 1.4K
515

Centre National de la Recherche Scientifique
Paris, France
13 h-index
30 publications
2.9K citations
Tsinghua University
Beijing, China
12 h-index
28 publications
2.2K citations
Google (United States)
Mountain View, United States
9 h-index
13 publications
2.2K citations
National University of Singapore
Singapore, Singapore
8 h-index
20 publications
1.4K citations
University of Oxford
Oxford, United Kingdom
7 h-index
17 publications
896 citations

Shanghai Jiao Tong University
Shanghai, China
7 h-index
25 publications
1.4K citations
University of Maryland, College Park
College Park, United States
7 h-index
11 publications
540 citations
Technical University of Munich
Munich, Germany
7 h-index
15 publications
959 citations
1–8 of 515
Repository · 36 publications · 2.4K citations
20
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TPAMI · 10 publications · 802 citations
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Conference · 8 publications · 520 citations
8
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5 publications · 394 citations
5
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5 publications · 116 citations
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