224910

Springer, Dordrecht

2014

392 Pages

ISBN 978-3-319-05316-5

Signals and Communication Technology

Geometric theory of information

Edited by

Frank Nielsen

This book brings together geometric tools and their applications for Information analysis. It collects current and many uses of in the interdisciplinary fields of Information Geometry Manifolds in Advanced Signal, Image & Video Processing, Complex Data Modeling and Analysis, Information Ranking and Retrieval, Coding, Cognitive Systems, Optimal Control, Statistics on Manifolds, Machine Learning, Speech/sound recognition, and natural language treatment which are also substantially relevant for the industry.

Publication details

DOI: 10.1007/978-3-319-05317-2

Full citation:

Nielsen, F. (ed) (2014). Geometric theory of information, Springer, Dordrecht.

Table of Contents

A Riemannian geometry in the $$$$-exponential banach manifold induced by $$$$-divergences

Quiceno Héctor R.; Loaiza Gabriel I.; Arango Juan C.

97-117

Open Access Link
Computational algebraic methods in efficient estimation

Kobayashi Kei; Wynn Henry P.

119-140

Open Access Link
Hartigan's method for $$$$-mle

Saint-Jean Christophe; Nielsen Frank

301-330

Open Access Link

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