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Geometric Science of Information : Third International Conference, GSI 2017, Paris, France, November 7-9, 2017, Proceedings / edited by Frank Nielsen, Frédéric Barbaresco.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 10589
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10589
- Language:
- English
- Subjects (All):
- Computer vision.
- Artificial intelligence.
- Computer science-Mathematics.
- Data protection.
- Computer Vision.
- Artificial Intelligence.
- Mathematics of Computing.
- Data and Information Security.
- Local Subjects:
- Computer Vision.
- Artificial Intelligence.
- Mathematics of Computing.
- Data and Information Security.
- Physical Description:
- 1 online resource (XXV, 877 pages) : 168 illustrations
- Edition:
- 1st ed. 2017.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2017.
- System Details:
- text file PDF
- Summary:
- 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 and applications: image processing; optimal transport and applications: signal processing; statistical manifold and hessian information geometry; monotone embedding in information geometry; information structure in neuroscience; geometric robotics and tracking; geometric mechanics and robotics; stochastic geometric mechanics and Lie group thermodynamics; probability on Riemannian manifolds; divergence geometry; non-parametric information geometry; optimization on manifold; computational information geometry; probability density estimation; session geometry of tensor-valued data; geodesic methods with constraints; applications of distance geometry.
- Contents:
- Statistics on non-linear data
- Shape space
- Optimal Transport and Applications
- Statistical Manifold and Hessian Information Geometry
- Monotone Embedding in Information Geometry
- Information Structure in Neuroscience
- Geometric Robotics and Tracking
- Geometric Mechanics and Robotics
- Stochastic Geometric Mechanics and Lie Group Thermodynamics
- Probability on Riemannian Manifolds
- Divergence Geometry
- Non-parametric Information Geometry
- Optimization on Manifold
- Computational Information Geometry
- Probability Density Estimation
- Session Geometry of Tensor-Valued Data
- Geodesic Methods with Constraints
- Applications of Distance Geometry.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-68445-1
- 9783319684451
- Access Restriction:
- Restricted for use by site license.
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