Ordinal Embeddings
Ordinal Embeddings is a mathematical framework that represents ordinal data as vectors in a continuous space while preserving the inherent order relations among the elements.
25
Publications
1K
Citations
60
Authors
46
Institutions
Publications per year
2017–2026
6
Variants
Ordinal Embedding
Parents
25
Transferring deep representation for NIR-VIS heterogeneous face recognition
Xiaoxiang Liu, Lingxiao Song, Xiang Wu et al. · 2016 · 147 citations
The power of comparative reasoning
Jay Yagnik, Dennis Strelow, David A. Ross et al. · 2011 · 120 citations
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46
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
3 publications
78 citations
Institute of Automation
Beijing, China
2 h-index
7 publications
675 citations
University of California, Berkeley
Berkeley, United States
2 h-index
3 publications
97 citations
Google (United States)
Mountain View, United States
2 h-index
5 publications
500 citations
Xiamen University
Xiamen, China
2 h-index
4 publications
196 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
4 publications
200 citations
Universität Hamburg
Hamburg, Germany
2 h-index
3 publications
129 citations

Tel Aviv University
Tel Aviv, Israel
1 h-index
1 publications
20 citations
1–8 of 46
2 publications · 52 citations
2
h-index
1 publications · 29 citations
1
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TPAMI · 1 publications · 74 citations
1
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Conference · 1 publications · 12 citations
1
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TRAN · 1 publications · 29 citations
1
h-index
1–5