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Bridge Simulation and Metric Estimation on Lie Groups and Orbit Spaces

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GFSW03 - Shape analysis and computational anatomy

Joint work with Stefan Sommer Alexis Arnaudon and Line Kuhnel. Performing statistical inference of non-linear Manifold valued data has wide ranging applications in wide ranging fields including bioinformatics, shape analysis, medical imaging, computational anatomy, computer vision, and information geometry. Most common existing statistical inference techniques assume that the Manifold is a Riemannian Manifold with a pre defined canonical metric. In this talk I will present some of our recent work in estimating the Metric structure of the manifold.

This talk is part of the Isaac Newton Institute Seminar Series series.

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