A Bayesian model for the unlabelled size-and-shape analysis

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A Bayesian model for the unlabelled size-and-shape analysis

This thesis considers the development of efficient MCMC sampling methods for Bayesian models used for the pairwise alignment of two unlabelled configurations. We introduce ideas from differential geometry along with other recent developments in unlabelled shape analysis as a means of creating novel...

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Bibliographic Details
Main Author:	Sajib, Anamul
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2018
Subjects:	Bayesian models; Differential geometry; Unlabelled shape analysis
Online Access:	https://eprints.nottingham.ac.uk/55511/

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