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.
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