Feature Averaging
Feature Averaging is a feature aggregation method that computes the arithmetic mean of a set of feature vectors to produce a single representative feature vector, distinguishing itself by its simplicity and invariance to the order of input features.
20
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990
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70
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36
Institutions
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2017–2026
6
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Averaging facial expression over time
Jason Haberman, Taylor Harp, David Whitney · Journal of Vision · 2009 · 197 citations · Full text
Medicine, Psychology, Vision Science +17
Averaged gene expressions for regression
M. Y. Park, Trevor Hastie, Robert Tibshirani · Biostatistics · 2006 · 170 citations · Full text
Combining feature ranking algorithms through rank aggregation
Ronaldo C. Prati · 2012 · 71 citations · Full text
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Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
147 citations

Thapar Institute of Engineering & Technology
Patiāla, India
2 h-index
4 publications
106 citations
University of California System
Oakland, United States
1 h-index
1 publications
197 citations

Peking University
Beijing, China
1 h-index
1 publications
29 citations
Bielefeld University
Bielefeld, Germany
1 h-index
1 publications
94 citations
Ningbo Institute of Industrial Technology
Ningbo, China
1 h-index
3 publications
87 citations

Universidade Federal do ABC
Santo André, Brazil
1 h-index
1 publications
71 citations
Institute of Automation
Beijing, China
1 h-index
3 publications
60 citations
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1 publications · 15 citations
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1 publications · 25 citations
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1 publications · 10 citations
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1 publications · 29 citations
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1 publications · 79 citations
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