Skeleton Identification
Skeleton Identification is a structural learning method in causal discovery that belongs to the class of graphical model inference techniques, distinguished by its specific aim of recovering the undirected adjacency structure of a causal graph by determining which variables are connected by edges, irrespective of edge orientation.
110
Publications
4.8K
Citations
450
Authors
229
Institutions
Publications per year
2017–2026
40
Parents
110
Skeleton Aware Multi-modal Sign Language Recognition
Songyao Jiang, Bin Sun, Lichen Wang et al. · 2021 · 261 citations
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229

Chinese Academy of Sciences
Beijing, China
6 h-index
20 publications
662 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
7 publications
128 citations

Peking University
Beijing, China
3 h-index
7 publications
1.9K citations

University of British Columbia
Vancouver, Canada
3 h-index
4 publications
154 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
8 publications
194 citations
State Key Laboratory of Natural Medicine
Nanjing, China
2 h-index
17 publications
407 citations
Université Paris Cité
Paris, France
2 h-index
2 publications
57 citations

University of Central Florida
Orlando, United States
2 h-index
2 publications
885 citations
1–8 of 229
4 publications · 120 citations
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TPAMI · 4 publications · 318 citations
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JHE · 3 publications · 143 citations
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JANPR · 2 publications · 23 citations
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2 publications · 97 citations
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1–5