Ensemble Feature Aggregation
Ensemble Feature Aggregation is a feature aggregation method that combines multiple heterogeneous or homogeneous feature representations through an ensemble strategy to enhance representation robustness and discriminability by leveraging complementary information across constituent features.
54
Publications
2K
Citations
228
Authors
120
Institutions
Publications per year
2017–2026
38
Parents
54
Crowd anomaly detection using Aggregation of Ensembles of fine-tuned ConvNets
Kuldeep Singh, Shantanu Rajora, Gaurav Tripathi et al. · Neurocomputing · 2019 · 117 citations
1–5 of 54
228
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 228
120
Florida Atlantic University
Boca Raton, United States
2 h-index
7 publications
166 citations

American University of Sharjah
Sharjah, United Arab Emirates
2 h-index
7 publications
268 citations

Hefei University of Technology
Hefei, China
2 h-index
6 publications
290 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
122 citations

Deakin University
Burwood, Australia
2 h-index
3 publications
58 citations

Mawlana Bhashani Science and Technology University
Dhaka, Bangladesh
2 h-index
2 publications
40 citations
University of Chinese Academy of Sciences
Beijing, China
1 h-index
2 publications
40 citations
Wuhan University
Wuhan, China
1 h-index
4 publications
152 citations
1–8 of 120
2 publications · 137 citations
2
h-index
2 publications · 155 citations
2
h-index
2 publications · 64 citations
2
h-index
SMS · 1 publications · 23 citations
1
h-index
1 publications · 141 citations
1
h-index
1–5