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Nonlinear Theory of Elastic Plates

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Exterior Algebras

Elementary Tribute to Grassmann's Ideas

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From Pinch Methodology to Pinch-Exergy Integration of Flexible Systems

Thermodynamics – Energy, Environment, Economy Set

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Data Treatment in Environmental Sciences

Multivaried Approach

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Gas Hydrates 1

Fundamentals, Characterization and Modeling

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Smart Decisions in Complex Systems

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Chi-squared Goodness-of-fit Tests for Censored Data

Stochastic Models in Survival Analysis and Reliability Set – Volume 3

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Baidu SEO

Challenges and Intricacies of Marketing in China

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Supply Chain Management and Business Performance

The VASC Model

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Asymmetric Alliances and Information Systems

Issues and Prospects

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Information Fusion in Signal and Image Processing

Edited by Isabelle Bloch, ENST, Paris, France

ISBN: 9781848210196

Publication Date: November 2007   Hardback   296 pp.

150.00 USD

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The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. This book offers an overview of the general principles and specifics of information fusion in signal and image processing, as well as covering the main numerical methods (probabilistic approaches, fuzzy sets and possibility theory and belief functions).


1. Definitions, Isabelle Bloch, Henri Maître.
2. Fusion in Signal Processing, Jean-Pierre Le Cadre, Vincent Nimier and Roger Reynaud.
3. Fusion in Image Processing, Isabelle Bloch, Henri Maître.
4. Fusion in Robotics, Michèle Rombaut.
5. Information and Knowledge Representation in Fusion Problems, Isabelle Bloch, Henri Maître.
6. Probabilistic and Statistical Methods, Isabelle Bloch, Jean-Pierre Le Cadre and Henri Maître.
7. Belief Function Theory, Isabelle Bloch.
8. Fuzzy Sets and Possibility Theory, Isabelle Bloch.
9. Spatial Information in Fusion Methods, Isabelle Bloch.
10. Multi-agent Methods, Fabienne Ealet, Bertrand Collin and Catherine Garbay.
11. Fusion of Non-simultaneous Elements of Information: Temporal Fusion, Michèle Rombaut.
12. Conclusion, Isabelle Bloch.

About the Authors

Isabelle Bloch is Professor at the Ecole Nationale Supérieure des Télécommunications, Paris, France.


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