Fast Exact Evaluation of Univariate Kernel Sums

This paper presents new methodology for computationally efficient evaluation of univariate kernel sums. It is shown that a rich class of kernels allows for exact evaluation of functions expressed as a sum of kernels using simple recursions. Given an ordered sample the computational complexity is lin...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2021-02, Vol.43 (2), p.447-458
1. Verfasser:	Hofmeyr, David P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Deconvolution density derivative density estimation Estimation image deconvolution image denoising Image processing Image reconstruction Independent component analysis Kernel Kernels Linear time Noise measurement Noise reduction non-parametric regression Nonparametric statistics Probability distribution projection pursuit Spatial smoothing Sums
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!