Laplacian Kernels
Laplacian Kernels is a kernel function in the class of positive definite kernels that employs the Laplacian norm to measure similarity between data points, distinguished by its use of the negative exponential of the L1 distance.
305
Publications
19.1K
Citations
715
Authors
399
Institutions
Publications per year
2017–2026
84
Variants
Laplacian Kernel
Parents
305
Analysis and Approximation of Nonlocal Diffusion Problems with Volume Constraints
Qiang Du, Max Gunzburger, Richard B. Lehoucq et al. · SIAM Review · 2012 · 587 citations
Engineering, Mathematics, Physics +17
1–5 of 305
715
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Istituto di Matematica Applicata e Tecnologie Informatiche, Italy
4 publications · 61 citations
4
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3
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3
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3
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1–5 of 715
399

Centre National de la Recherche Scientifique
Paris, France
10 h-index
17 publications
883 citations
Duke University
Durham, United States
5 h-index
10 publications
435 citations
Stony Brook University
Stony Brook, United States
5 h-index
11 publications
2.8K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
16 publications
615 citations
UCLouvain
Louvain-la-Neuve, Belgium
4 h-index
11 publications
4.3K citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
6 publications
277 citations

McGill University
Montreal, Canada
4 h-index
5 publications
140 citations
Yale University
New Haven, United States
4 h-index
7 publications
472 citations
1–8 of 399
Repository · 11 publications · 382 citations
10
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8 publications · 791 citations
8
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5 publications · 614 citations
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TRAN · 5 publications · 139 citations
5
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4 publications · 214 citations
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