One-versus-rest Classification
One-Versus-Rest Classification is a multi-class classification strategy that, as a singular method, generalizes binary classifiers to multi-class settings by training one classifier per class to distinguish that class from all others collectively.
55
Publications
3.1K
Citations
172
Authors
90
Institutions
Publications per year
2017–2026
23
Variants
One-against-all ClassificationOne-versus-all ClassificationOva ClassificationOvr Classification
Parents
55
High Five: Recognising human interactions in TV shows
Alonso Patron, Marcin Marszałek, Andrew Zisserman et al. · 2010 · 136 citations · Full text
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Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates
2 publications · 441 citations
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1–5 of 172
90
Yonsei University
Seoul, South Korea
2 h-index
3 publications
238 citations

Johns Hopkins University
Baltimore, United States
2 h-index
9 publications
179 citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
2 h-index
8 publications
132 citations

University of Essex
Colchester, United Kingdom
2 h-index
6 publications
268 citations
Georgetown University
Washington, United States
2 h-index
9 publications
179 citations
Indian Institute of Technology Delhi
New Delhi, India
2 h-index
3 publications
172 citations

Children's National
Washington, United States
2 h-index
9 publications
179 citations
Næstved Sygehus
Næstved, Denmark
1 h-index
1 publications
36 citations
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Repository · 3 publications · 80 citations
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2 publications · 175 citations
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1 publications · 41 citations
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TFS · 1 publications · 85 citations
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1 publications · 112 citations
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