Description: Progress in Information Geometry

Progress in Information Geometry [E-Book] : Theory and Applications / edited by Frank Nielsen.

This book focuses on information-geometric manifolds of structured data and models and related applied mathematics. It features new and fruitful interactions between several branches of science: Advanced Signal/Image/Video Processing, Complex Data Modeling and Analysis, Statistics on Manifolds, Topo...

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Personal Name(s):	Nielsen, Frank, editor
Edition:	1st edition 2021.
Imprint:	Cham : Springer, 2021
Physical Description:	XII, 274 pages 105 illustrations, 35 illustrations in color (online resource)
Note:	englisch
ISBN:	9783030654597
DOI:	10.1007/978-3-030-65459-7
Series Title:	Signals and Communication Technology
Subject (ZB):	Lie group probability theory Riemann manifold statistics
Subject (LOC):	Coding theory. Econophysics. Electrical engineering. Global analysis (Mathematics). Image processing. Information theory. Manifolds (Mathematics). Signal processing. Sociophysics. Speech processing systems. Statistics.
Classification:	MWA - Probability theory - general MGC - Differential geometry

This book focuses on information-geometric manifolds of structured data and models and related applied mathematics. It features new and fruitful interactions between several branches of science: Advanced Signal/Image/Video Processing, Complex Data Modeling and Analysis, Statistics on Manifolds, Topology/Machine/Deep Learning and Artificial Intelligence. The selection of applications makes the book a substantial information source, not only for academic scientist but it is also highly relevant for industry. The book project was initiated following discussions at the international conference GSI'2019 - Geometric Science of Information that was held at ENAC, Toulouse (France).