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Computer Science - Image Processing | Maximum Entropy and Bayesian Methods

Maximum Entropy and Bayesian Methods

Proceedings of the Twelfth International Workshop on Maximum Entropy and Bayesian Methods, Paris, France, 1992

Mohammad-Djafari, Ali, Demoment, G. (Eds.)

1993, VI, 450 p.

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The Twelfth International Workshop on Maximum Entropy and Bayesian Methods in Sciences and Engineering (MaxEnt 92) was held in Paris, France, at the Centre National de la Recherche Scientifique (CNRS), July 19-24, 1992. It is important to note that, since its creation in 1980 by some of the researchers of the physics department at the Wyoming University in Laramie, this was the second time that it took place in Europe, the first time was in 1988 in Cambridge. The two specificities of MaxEnt workshops are their spontaneous and informal charac­ ters which give the participants the possibility to discuss easily and to make very fruitful scientific and friendship relations among each others. This year's organizers had fixed two main objectives: i) to have more participants from the European countries, and ii) to give special interest to maximum entropy and Bayesian methods in signal and image processing. We are happy to see that we achieved these objectives: i) we had about 100 participants with more than 50 per cent from the European coun­ tries, ii) we received many papers in the signal and image processing subjects and we could dedicate a full day of the workshop to the image modelling, restoration and recon­ struction problems.

Content Level » Research

Keywords » entropy - image restoration - physics - quantum information - quantum physics - quantum theory

Related subjects » Image Processing - Theoretical, Mathematical & Computational Physics

Table of contents 

Preface. 1. Bayesian Inference and Maximum Entropy. 2. Quantum Physics and Quantum Information. 3. Time Series. 4. Inverse Problems. 5. Applications. 6. Image Restoration and Reconstruction. Key Words Index. Authors' Index.

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