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 Barbarescoen Limba Engleză Paperback – 8 oct 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
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
ResearchCuprins
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