Additive Kernels
Additive Kernels is a kernel function that belongs to the class of positive definite kernels characterized by decomposing the input space into independent components, where the kernel output is expressed as the sum of base kernels operating on individual scalar dimensions of the input vectors.
32
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2.4K
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66
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42
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2017–2026
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Efficient additive kernels via explicit feature maps
Andrea Vedaldi, Andrew Zisserman · 2010 · 261 citations
Large-scale image categorization with explicit data embedding
Florent Perronnin, Jorge Sánchez, Yan Liu · 2010 · 152 citations
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University of Oxford
Oxford, United Kingdom
5 h-index
9 publications
2.3K citations
Mines Saint-Étienne
Saint-Etienne, France
3 h-index
4 publications
99 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
2 publications
77 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
2 publications
177 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
6 publications
452 citations
University of Sheffield
Sheffield, United Kingdom
2 h-index
2 publications
73 citations
University of Bern
Bern, Switzerland
2 h-index
2 publications
73 citations
Texas A&M University
College Station, United States
1 h-index
1 publications
11 citations
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Repository · 5 publications · 203 citations
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TPAMI · 2 publications · 913 citations
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1 publications · 32 citations
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1 publications · 11 citations
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1 publications · 17 citations
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