Aggregation Features
Aggregation Features is a feature engineering technique that belongs to the class of data transformation methods, distinguished by its computation of summary statistics or derived metrics from grouped data instances to represent higher-level patterns or relationships within a dataset.
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2.8K
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172
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77
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2017–2026
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Superlative Index Numbers and Consistency in Aggregation
Walter Diewert · Econometrica · 1978 · 509 citations
Aggregate channel features for multi-view face detection
Bin Yang, Junjie Yan, Zhen Lei et al. · 2014 · 301 citations
Aggregate features and ADABOOST for music classification
James Bergstra, Norman Casagrande, Dumitru Erhan et al. · Machine Learning · 2006 · 276 citations · Full text
Bags of Local Convolutional Features for Scalable Instance Search
Eva Mohedano, Kevin McGuinness, Noel E. O’Connor et al. · 2016 · 159 citations · Full text
HAT: Hierarchical Aggregation Transformers for Person Re-identification
Guowen Zhang, Pingping Zhang, Jinqing Qi et al. · 2021 · 149 citations
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Chinese Academy of Sciences
Beijing, China
3 h-index
12 publications
1.5K citations
Dalian University of Technology
Dalian, China
3 h-index
9 publications
662 citations

Towson University
Towson, United States
2 h-index
8 publications
80 citations

DEVCOM Army Research Laboratory
Adelphi, United States
2 h-index
4 publications
40 citations

Capital Normal University
Beijing, China
2 h-index
2 publications
90 citations

University of Milano-Bicocca
Milan, Italy
2 h-index
7 publications
226 citations

Iona College
New Rochelle, United States
2 h-index
2 publications
102 citations

Beihang University
Beijing, China
2 h-index
4 publications
112 citations
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2 publications · 88 citations
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1 publications · 21 citations
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