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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
Ohara Atsumi; Eguchi Shinto
31-55
Matsuzoe Hiroshi; Henmi Masayuki
57-80
Quiceno Héctor R.; Loaiza Gabriel I.; Arango Juan C.
97-117
Barbaresco Frédéric
141-217
Afsari Bijan; Vidal René
219-242
Lorenzi Marco; Pennec Xavier
243-271
Cury Claire; Colliot Olivier
273-299
Angulo Jesús; Velasco-Forero Santiago
331-366
Dodson C. T. J.; Sampson W. W.
367-388
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