Geometric Science of Information : Second International Conference, GSI 2015, Palaiseau, France, October 28-30, 2015, Proceedings (Image Processing, Computer Vision, Pattern Recognition, and Graphics)

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Geometric Science of Information : Second International Conference, GSI 2015, Palaiseau, France, October 28-30, 2015, Proceedings (Image Processing, Computer Vision, Pattern Recognition, and Graphics)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 790 p.
  • 商品コード 9783319250397

Full Description

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.

Contents

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.

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