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Geometric science of informationthir...
~
(1998 :)
Geometric science of informationthird International Conference, GSI 2017, Paris, France, November 7-9, 2017 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Geometric science of informationedited by Frank Nielsen, Frederic Barbaresco.
Reminder of title:
third International Conference, GSI 2017, Paris, France, November 7-9, 2017 : proceedings /
remainder title:
GSI 2017
other author:
Nielsen, Frank.
corporate name:
Published:
Cham :Springer International Publishing :2017.
Description:
xxv, 877 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
GeometryCongresses.Data processing
Online resource:
http://dx.doi.org/10.1007/978-3-319-68445-1
ISBN:
9783319684451$q(electronic bk.)
Geometric science of informationthird International Conference, GSI 2017, Paris, France, November 7-9, 2017 : proceedings /
Geometric science of information
third International Conference, GSI 2017, Paris, France, November 7-9, 2017 : proceedings /[electronic resource] :GSI 2017edited by Frank Nielsen, Frederic Barbaresco. - Cham :Springer International Publishing :2017. - xxv, 877 p. :ill., digital ;24 cm. - Lecture notes in computer science,105890302-9743 ;. - Lecture notes in computer science ;4891..
This book constitutes the refereed proceedings of the Third International Conference on Geometric Science of Information, GSI 2017, held in Paris, France, in November 2017. The 101 full papers presented were carefully reviewed and selected from 113 submissions and are organized into the following subjects: Statistics on non-linear data Shape Space Optimal Transport & Applications I (Data Science and Economics) Optimal Transport & Applications II (Signal and Image Processing) Topology and statistical learning Statistical Manifold & Hessian Information Geometry Monotone Embedding in Information Geometry Information Structure in Neuroscience Geometric Robotics & Tracking Geometric Mechanics & Robotics Stochastic Geometric Mechanics & Lie Group Thermodynamics Probability on Riemannian Manifolds Divergence Geometry Geometric Deep Learning First and second-order Optimization on Statistical Manifolds Non-parametric Information Geometry Geometry of quantum states Optimization on Manifold Computational Information Geometry Probability Density Estimation Geometry of Tensor-Valued Data Geometry and Inverse Problems Geometry in Vision, Learning and Dynamical Systems Lie Groups and Wavelets Geometry of metric measure spaces Geometry and Telecom Geodesic Methods with Constraints Applications of Distance Geometry.
ISBN: 9783319684451$q(electronic bk.)
Standard No.: 10.1007/978-3-319-68445-1doiSubjects--Topical Terms:
442682
Geometry
--Data processing--Congresses.
LC Class. No.: QA448.D38
Dewey Class. No.: 516.00285
Geometric science of informationthird International Conference, GSI 2017, Paris, France, November 7-9, 2017 : proceedings /
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third International Conference, GSI 2017, Paris, France, November 7-9, 2017 : proceedings /
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edited by Frank Nielsen, Frederic Barbaresco.
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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 & Applications I (Data Science and Economics) Optimal Transport & Applications II (Signal and Image Processing) Topology and statistical learning Statistical Manifold & Hessian Information Geometry Monotone Embedding in Information Geometry Information Structure in Neuroscience Geometric Robotics & Tracking Geometric Mechanics & Robotics Stochastic Geometric Mechanics & Lie Group Thermodynamics Probability on Riemannian Manifolds Divergence Geometry Geometric Deep Learning First and second-order Optimization on Statistical Manifolds Non-parametric Information Geometry Geometry of quantum states Optimization on Manifold Computational Information Geometry Probability Density Estimation Geometry of Tensor-Valued Data Geometry and Inverse Problems Geometry in Vision, Learning and Dynamical Systems Lie Groups and Wavelets Geometry of metric measure spaces Geometry and Telecom Geodesic Methods with Constraints Applications of Distance Geometry.
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EB QA448.D38 G895 2017
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http://dx.doi.org/10.1007/978-3-319-68445-1
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