The fast semi-bounded kernel-diffeomorphism estimator
Date issued
2018
Journal Title
Journal ISSN
Volume Title
Publisher
Václav Skala - UNION Agency
Abstract
We introduce, by this work, a fast method to estimate probability density functions in the semi-bounded case. This
new technique is a simplified version of the kernel-diffeomorphism estimator which requires complexity in the
calculations. It is based on a logarithmic transformation of the data which will be estimated by the conventional
kernel estimator. Thus, the algorithm complexity is reduced from O(N2) to O(N).
Description
Subject(s)
odhad hustoty jádra, plugin algoritmus diffeomorfismu jádra, rychlý poloomezený diffeomorfismus jádra
Citation
WSCG 2018: poster papers proceedings: 26th International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 55-60.