Fast Kernel Density Estimation
Fast Kernel Density Estimation is a computational method in nonparametric statistics that accelerates the evaluation of kernel density estimates by employing approximation techniques or algorithmic optimizations to reduce time complexity relative to exact kernel summation.
62
Publications
3.4K
Citations
142
Authors
94
Institutions
Publications per year
2017–2026
20
Variants
Fast Kde
Parents
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Improved fast gauss transform and efficient kernel density estimation
Yang, Duraiswami, Gumerov et al. · 2003 · 404 citations
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Data61
Sydney, Australia
4 h-index
4 publications
204 citations
University of Maryland, College Park
College Park, United States
4 h-index
10 publications
2.5K citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
9 publications
135 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
2 h-index
2 publications
75 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
4 publications
191 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
2 publications
27 citations

UNSW Sydney
Sydney, Australia
2 h-index
2 publications
27 citations
ARC Centre of Excellence for Mathematical and Statistical Frontiers
Parkville, Australia
2 h-index
2 publications
27 citations
1–8 of 94
JCGS · 5 publications · 232 citations
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CSDA · 4 publications · 249 citations
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2 publications · 91 citations
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TPAMI · 2 publications · 264 citations
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2 publications · 24 citations
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