Riemannian Online Algorithms for Estimating Mixture Model Parameters View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2017-10-24

AUTHORS

Paolo Zanini , Salem Said , Yannick Berthoumieu , Marco Congedo , Christian Jutten

ABSTRACT

This paper introduces a novel algorithm for the online estimate of the Riemannian mixture model parameters. This new approach counts on Riemannian geometry concepts to extend the well-known Titterington approach for the online estimate of mixture model parameters in the Euclidean case to the Riemannian manifolds. Here, Riemannian mixtures in the Riemannian manifold of Symmetric Positive Definite (SPD) matrices are analyzed in details, even if the method is well suited for other manifolds. More... »

PAGES

675-683

Book

TITLE

Geometric Science of Information

ISBN

978-3-319-68444-4
978-3-319-68445-1

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-68445-1_78

DOI

http://dx.doi.org/10.1007/978-3-319-68445-1_78

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092381063


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