Geometric Theory of Information

Geometric Theory of Information

Geometric Theory of Information

Geometric Theory of Information

Paperback(Softcover reprint of the original 1st ed. 2014)

$109.99 
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Overview

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.

Product Details

ISBN-13: 9783319351810
Publisher: Springer International Publishing
Publication date: 06/14/2014
Series: Signals and Communication Technology
Edition description: Softcover reprint of the original 1st ed. 2014
Pages: 392
Product dimensions: 6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Preface.- Divergence Functions and Geometric Structures They Induce on a Manifold.- Geometry on Positive Definite Matrices Deformed by V-potentials and Its Submanifold Structure.- Hessian structures and divergence functions on deformed exponential families.- Harmonic maps relative to α-connections.- A Riemannian geometry in the q-exponential Banach manifold induced by q-divergences.- Computational algebraic methods in efficient estimation.
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