Geometry and statistics: manifolds and stratified spaces

Aasa Feragen, Mads Nielsen, Eva Bjørn Vedel Jensen, Andrew du Plessis, Francois Bernard Lauze

2 Citations (Scopus)

Abstract

Manifolds and stratified spaces are large families of nonlinear geometric spaces used for mathematical modeling of real data. Standard operations such as interpolation, averaging, principal components or hypothesis testing are no longer straightforward or even necessarily well defined when data is modeled in such spaces. Shapes are classical examples of objects whose variation exhibits nonlinear behavior. Stratified spaces lend themselves well to modeling data with variable topology, such as weighted trees or graphs.

Original languageEnglish
JournalJournal of Mathematical Imaging and Vision
Volume50
Issue number1
Pages (from-to)1-4
Number of pages4
ISSN0924-9907
DOIs
Publication statusPublished - 2014

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