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Geometric Science of Information: Second International Conference, GSI 2015, Palaiseau, France, October 28-30, 2015, Proceedings: Lecture Notes in Computer Science, cartea 9389

Editat de Frank Nielsen, Frederic Barbaresco
en Limba Engleză Paperback – 8 oct 2015
This book constitutes the refereed proceedings of the Second International Conference on Geometric Science of Information, GSI 2015, held in Palaiseau, France, in October 2015.
The 80 full papers presented were carefully reviewed and selected from 110 submissions and are organized into the following thematic sessions:
Dimension reduction on Riemannian manifolds; optimal transport; optimal transport and applications in imagery/statistics; shape space and diffeomorphic mappings; random geometry/homology; Hessian information geometry; topological forms and Information; information geometry optimization; information geometry in image analysis; divergence geometry; optimization on manifold; Lie groups and geometric mechanics/thermodynamics; computational information geometry; Lie groups: novel statistical and computational frontiers; geometry of time series and linear dynamical systems; and Bayesian and information geometry for inverse problems.
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Specificații

ISBN-13: 9783319250397
ISBN-10: 3319250396
Pagini: 790
Ilustrații: XXII, 790 p. 97 illus.
Dimensiuni: 155 x 235 x 45 mm
Greutate: 1.12 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Dimension reduction on Riemannian manifolds.- Optimal transport.- Optimal transport and applications in imagery/statistics.- Shape space and diffeomorphic mappings.- Random geometry/homology.- Hessian information geometry.- Topological forms and Information.- Information geometry optimization.- Information geometry in image analysis.- Divergence geometry.- Optimization on manifold.- Lie groups and geometric mechanics/thermodynamics.- Computational information geometry.- Lie groups: novel statistical and computational frontiers.- Geometry of time series and linear dynamical systems.- Bayesian and information geometry for inverse problems.

Caracteristici

Includes supplementary material: sn.pub/extras