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Geometric Theory of Information

  • Frank Nielsen

Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Héctor R. Quiceno, Gabriel I. Loaiza, Juan C. Arango
    Pages 97-117
  3. Kei Kobayashi, Henry P. Wynn
    Pages 119-140
  4. Claire Cury, Joan Alexis Glaunès, Olivier Colliot
    Pages 273-299
  5. Back Matter
    Pages 389-392

About this book

Introduction

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.

Keywords

Banach Information Manifolds Computational Information Geometry GSI’2013 - Geometric Science of Information Information Analysis Information Ranking Shape Spaces Shape Variability

Editors and affiliations

  • Frank Nielsen
    • 1
  1. 1.Laboratoire d'Informatique (LIX)Polytechnique SchoolPalaiseau CedexFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-05317-2
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-05316-5
  • Online ISBN 978-3-319-05317-2
  • Series Print ISSN 1860-4862
  • Series Online ISSN 1860-4870
  • Buy this book on publisher's site
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