Progressive von Mises–Fisher Filtering Using Isotropic Sample Sets for Nonlinear Hyperspherical Estimation †

In this work, we present a novel scheme for nonlinear hyperspherical estimation using the von Mises–Fisher distribution. Deterministic sample sets with an isotropic layout are exploited for the efficient and informative representation of the underlying distribution in a geometrically adaptive manner...

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Detalles Bibliográficos
Autores principales: Li, Kailai, Pfaff, Florian, Hanebeck, Uwe D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123154/
https://www.ncbi.nlm.nih.gov/pubmed/33923212
http://dx.doi.org/10.3390/s21092991

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123154/
https://www.ncbi.nlm.nih.gov/pubmed/33923212
http://dx.doi.org/10.3390/s21092991

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