- Anglický jazyk
Geometric Science of Information
Autor: Frédéric Barbaresco
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...
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O knihe
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
- Vydavateľstvo: Springer International Publishing
- Rok vydania: 2017
- Formát: Paperback
- Rozmer: 235 x 155 mm
- Jazyk: Anglický jazyk
- ISBN: 9783319684444