Mar 25, 2014 · Manifolds and stratified spaces are large families of nonlinear geometric spaces used for mathematical modeling of real data.
Mar 25, 2014 · IntroductionStatistics and machine learning typically take place in linear spaces. When data points are described by fixed-dimensional ...
Statistics and machine learning typically take place in linear spaces. When data points are described by fixed-dimensional.
Geometry and statistics: manifolds and stratified spaces
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Original language, English. Journal, Journal of Mathematical Imaging and Vision. Volume, 50. Issue number, 1. Pages (from-to), 1-4. Number of pages, 4.
Geometry and Statistics: Manifolds and Stratified Spaces. Feragen, Aasa ... Journal of Mathematical Imaging and Vision. Pub Date: September 2014; DOI ...
Geometry and Statistics: Manifolds and Stratified Spaces. https://doi.org/10.1007/s10851-014-0504-5. Journal: Journal of Mathematical Imaging and Vision, 2014.
JMIV Special Issue: Geometry and Statistics: Manifolds and Stratified Spaces in Bioimaging. Manuscript submission deadline: February 1 2013
In this thesis, we explore the geometry of stratified spaces with the overall objective of enabling statistics on these spaces. More specifically, we provide ...
They have a rich geometry, analogous to geom- etry on Riemannian manifolds, which lends them as very suitable spaces on which to develop statistical methods.
In this chapter we give a brief introduction to stratified spaces and geometric tools that are useful for performing statistics in them.