Information fusion in signal and image processing major probabilistic and non-probabilistic numerical approaches

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. As such, this books offers an overview of the general principles and specificities...

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Bibliographic Details
Main Author: Bloch, Isabelle
Format: eBook
Language:English
Published: London ISTE 2008
Series:Digital signal and image processing series
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
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130 0 |a Fusion d'informations en traitement du signal et des images <English> 
245 0 0 |a Information fusion in signal and image processing  |b major probabilistic and non-probabilistic numerical approaches  |c edited by Isabelle Bloch 
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300 |a 295 pages  |b illustrations 
505 0 |a Includes bibliographical references and index 
505 0 |a Definitions / Isabelle Bloch and Henri Maître -- Fusion in signal processing / Jean-Pierre Le Cadre, Vincent Nimier, and Roger Reynaud -- Fusion in image processing / Isabelle Bloch and Henri Maître -- Fusion in robotics / Michèle Rombaut -- Information and knowledge representation in fusion problems / Isabelle Bloch and Henri Maître -- Probabilistic and statistical methods / Isabelle Bloch, Jean-Pierre Le Cadre, and Henri Maître -- Belief function theory / Isabelle Bloch -- Fuzzy sets and possibility theory / Isabelle Bloch -- Spatial information in fusion methods / Isabelle Bloch -- Multi-agent methods : an example of an architecture and its application for the detection, recognition, and identification of targets / Fabienne Ealet, Bertrand Collin, and Catherine Garbay -- Fusion of non-simultaneous elements of information : temporal fusion / Michèle Rombaut -- Probabilities : a historical perspective -- Axiomatic inference of the Dempster-Shafer combination rule 
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520 |a 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. As such, this books offers an overview of the general principles and specificities 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)