Kernel-based Feature Aggregation
Kernel-Based Feature Aggregation is a feature aggregation method that leverages kernel functions to non-linearly map and combine local feature representations into a compact global descriptor by emphasizing structural similarity in a high-dimensional reproducing kernel Hilbert space.
12
Publications
3.5K
Citations
45
Authors
25
Institutions
Publications per year
2017–2026
5
Parents
12
Aggregating local descriptors into a compact image representation
Hervé Jeǵou, Matthijs Douze, Cordelia Schmid et al. · 2010 · 2.8K citations · Full text
1–5 of 12
45
Institut national de recherche en sciences et technologies du numérique, France
3 publications · 3.1K citations
3
h-index
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 45
25
Centre Inria de l'Université de Rennes
Rennes, France
3 h-index
5 publications
3.5K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
7 publications
9K citations
National Technical University of Athens
Athens, Greece
2 h-index
3 publications
601 citations

Sun Yat-sen University
Guangzhou, China
1 h-index
4 publications
76 citations

Xi'an Jiaotong University
Xi'an, China
1 h-index
3 publications
105 citations

Beihang University
Beijing, China
1 h-index
3 publications
51 citations

University of Macau
Macao, Macao
1 h-index
3 publications
72 citations
Guangdong University of Technology
Guangzhou, China
1 h-index
5 publications
125 citations
1–8 of 25
2 publications · 59 citations
2
h-index
1 publications · 157 citations
1
h-index
1 publications · 35 citations
1
h-index
1 publications · 225 citations
1
h-index
1 publications · 24 citations
1
h-index
1–5