Automated Image Recognition
Automated Image Recognition is a computational method that enables the identification and classification of pollinator species from digital images through algorithmic analysis of visual features, distinguishing it from manual or non-automated techniques by its reliance on machine learning models to perform recognition tasks without human intervention.
844
Publications
46.4K
Citations
3.6K
Authors
1.3K
Institutions
Publications per year
2017–2026
564
Parents
844
Support Vector Machines for Multiple-Instance Learning
Stuart Andrews, Ioannis Tsochantaridis, Thomas Hofmann · 2002 · 1.4K citations
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The University of Tokyo
Tokyo, Japan
15 h-index
47 publications
1.5K citations

University of Electro-Communications
Tokyo, Japan
9 h-index
15 publications
1.1K citations
China Agricultural University
Beijing, China
9 h-index
38 publications
1.9K citations

Zhejiang University
Hangzhou, China
7 h-index
18 publications
581 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
16 publications
556 citations

Kyoto University
Kyoto, Japan
7 h-index
13 publications
463 citations
Tsinghua University
Beijing, China
7 h-index
19 publications
554 citations
University of California, Berkeley
Berkeley, United States
7 h-index
13 publications
760 citations
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23 publications · 1.9K citations
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Repository · 19 publications · 603 citations
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