Overview

This book constitutes the refereed proceedings of the Third International Conference on Geometric Science of Information, GSI 2017, held in Paris, France, in November 2017. The 101 full papers presented were carefully reviewed and selected from 113 submissions and are organized into the following subjects: statistics on non-linear data; shape space; optimal transport and applications: image processing; optimal transport and applications: signal processing; statistical manifold and hessian information geometry; monotone embedding in information geometry; information structure in neuroscience; geometric robotics and tracking; geometric mechanics and robotics; stochastic geometric mechanics and Lie group thermodynamics; probability on Riemannian manifolds; divergence geometry; non-parametric information geometry; optimization on manifold; computational information geometry; probability density estimation; session geometry of tensor-valued data; geodesic methods with constraints; applications of distance geometry.

Full Product Details

Author:   Frank Nielsen ,  Frédéric Barbaresco
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   10589
Weight:   1.359kg
ISBN:  

9783319684444

ISBN 10:   3319684442
Pages:   877
Publication Date:   26 October 2017
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Statistics on non-linear data.- Shape space.- Optimal Transport & Applications.- Statistical Manifold & Hessian Information Geometry.- Statistical Manifold  and Hessian Information Geometry.- Monotone Embedding in Information Geometry.- Information Structure in Neuroscience.- Geometric Robotics and Tracking.- Geometric Mechanics and Robotics.- Stochastic Geometric Mechanics and Lie Group Thermodynamics.- Probability on Riemannian Manifolds.- Divergence Geometry.- Non-parametric Information Geometry.- Optimization on Manifold.- Computational Information Geometry.- Probability Density Estimation.- Session Geometry of Tensor-Valued Data.- Geodesic Methods with Constraints.- Applications of Distance Geometry.

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