Hypersphere Fitting From Noisy Data Using an EM Algorithm

This letter studies a new expectation maximization (EM) algorithm to solve the problem of circle, sphere and more generally hypersphere fitting. This algorithm relies on the introduction of random latent vectors having a priori independent von Mises-Fisher distributions defined on the hypersphere. T...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE signal processing letters Ročník 28; s. 314 - 318
Hlavní autoři:	Lesouple, Julien, Pilastre, Barbara, Altmann, Yoann, Tourneret, Jean-Yves
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.01.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Témata:	Algorithms Computer Science Distributed databases Engineering Sciences Expectation-Maximization Algorithm Fitting Hypersphere Fitting Hyperspheres Iterative algorithms Maximum likelihood estimation Noise measurement Signal and Image Processing Signal processing algorithms Statistical models Three-dimensional displays von Mises-Fisher distribution Maximum likelihood estimation von Mises-Fisher distribution Expectation-maximization algorithm Hypersphere fitting
ISSN:	1070-9908, 1558-2361
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!