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|a 9783319250403
|9 978-3-319-25040-3
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|a 10.1007/978-3-319-25040-3
|2 doi
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|a Geometric Science of Information
|h [electronic resource] :
|b Second International Conference, GSI 2015, Palaiseau, France, October 28-30, 2015, Proceedings /
|c edited by Frank Nielsen, Frédéric Barbaresco.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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|a XXII, 790 p. 97 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 9389
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|a 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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|a 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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|a Computer science.
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|a Algorithms.
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|a Computer science
|x Mathematics.
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|a Artificial intelligence.
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|a Computer graphics.
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|a Image processing.
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|a Pattern recognition.
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|a Computer Science.
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|a Image Processing and Computer Vision.
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|a Artificial Intelligence (incl. Robotics).
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|a Computer Graphics.
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|a Pattern Recognition.
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|a Discrete Mathematics in Computer Science.
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|a Algorithm Analysis and Problem Complexity.
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|a Nielsen, Frank.
|e editor.
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|a Barbaresco, Frédéric.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319250397
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830 |
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 9389
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|u http://dx.doi.org/10.1007/978-3-319-25040-3
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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|a ZDB-2-LNC
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950 |
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|a Computer Science (Springer-11645)
|