Pattern Recognition Models
Pattern Recognition Models is a computational framework that identifies and classifies complex spectral, chemical, or sensory data patterns characteristic of authentic olive oil by distinguishing them from adulterated or substandard samples through algorithmic learning of discriminative features.
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2017–2026
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1.7K
Pattern Recognition and Machine Learning
Journal of Electronic Imaging · 2007 · 22.1K citations
Pattern Recognition and Machine Learning
Kybernetes · 2007 · 8.4K citations
Pattern Recognition and Machine Learning
Radford M. Neal · Technometrics · 2007 · 4.7K citations
Random Erasing Data Augmentation
Zhun Zhong, Liang Zheng, Guoliang Kang et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · 2.9K citations · Full text
Pattern recognition and machine learning
Choice Reviews Online · 2007 · 2.7K citations
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Zhejiang University
Hangzhou, China
18 h-index
79 publications
4.4K citations

Chinese Academy of Sciences
Beijing, China
15 h-index
61 publications
2.2K citations

University of Tehran
Tehran, Iran
14 h-index
37 publications
2.4K citations
Jiangsu University
Zhenjiang, China
14 h-index
64 publications
1.9K citations

Universidad de Granada
Granada, Spain
14 h-index
50 publications
2.7K citations
Tsinghua University
Beijing, China
14 h-index
36 publications
1.9K citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
49 publications
2.3K citations
Instituto de la Grasa
Seville, Spain
13 h-index
25 publications
1.7K citations
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64 publications · 4.1K citations
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48 publications · 2.7K citations
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44 publications · 2.4K citations
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