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Maximum Entropy and Bayesian Methods : Theory and Decision Library - Ali Mohammad-Djafari

Maximum Entropy and Bayesian Methods

Theory and Decision Library

By: Ali Mohammad-Djafari (Editor), G. Demoment (Editor)

Hardcover Published: 31st July 1993
ISBN: 9780792322801
Number Of Pages: 450

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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.

Intersubjectivity, Relativistic Covariance, and Conditionals (A New Axiomatization)p. 9
Game Theoretical Equilibrium, Maximum Entropy and Minimum Information Discriminationp. 15
Entropy, Moments and Probability Theoryp. 25
Bayes-Optimal Visualization of Vector Fieldsp. 31
A Survey of Convergence Results for Maximum Entropy Methodsp. 39
Maximum Entropy Method and Digital Filter Designp. 49
A Theoretical Performance Analysis of Bayesian and Information Theoretic Image Segmentation Criteriap. 55
On Application of Maxent to Solving Fredholm Integral Equationsp. 63
An Algorithm to Process Signals Conveying Statistical Informationp. 67
Generalization of the Maximum Entropy Concept and Certain Arma Processesp. 73
Making Sense of Quantum Mechanics: Why You Should Believe in Hidden Variablesp. 79
Bayesian Methods and Court Decision-Makingp. 85
Wigmore Diagrams and Bayes Networksp. 93
An Invariance Principle for Updating Probabilitiesp. 99
Alpha, Evidence, and the Entropic Priorp. 113
Uniformly Distributed Sequences and the Maximum Entropy Principlep. 121
Duality Without Tearsp. 127
Entropy, Chaos, and Quantum Mechanicsp. 135
Phase-Space Priors in Information Entropyp. 145
Maximum Entropy Descriptions of Quantum Wave Functionsp. 155
Towards Quantum [epsilon]-Entropy and Validity of Quantum Informationp. 163
Quantum Statistical Inferencep. 167
Dual Measurements and Information in Quantum Opticsp. 183
Quantum Entropies and Their Maximizationsp. 189
Information Dynamics and its Application to Gaussian Communication Processesp. 195
Quantum Mechanics - How Weird for Bayesians?p. 205
Speech Processing Using Bayesian Inferencep. 215
A Bayesian Method for the Detection of Unknown Periodic and Nonperiodic Signals in Binned Time Seriesp. 225
Noise in the Underdetermined Problemp. 233
Deconvolution with an Unknown Point-Spread Functionp. 245
Maximum Entropy and Linear Inverse Problems. A Short Reviewp. 253
Bayesian Maximum Entropy Image Reconstruction from the Scattered Field Datap. 265
Maximum Entropy Image Reconstruction in Eddy Current Tomographyp. 273
Conductivity-Depth-Imaging of Airborne Electromagnetic Step-Response Data Using Maximum Entropyp. 281
Bayesian Source Estimation from Potential Field Datap. 287
Crystal Phase Dynamicsp. 295
Diffraction from Particles of Unknown Shapep. 303
Maxent Enhancement of 2D Projections from 3D Phased Fourier Data: An Application to Polarised Neutron Diffractionp. 311
Relative Entropy and the Dempster-Laird-Rubin EM Algorithm: Application to the Autofocus Problem in Isar Imagingp. 319
Bayesian Analysis for Fault Location Based on Finite Element Modelsp. 333
Pyramid Imagesp. 341
Fine Structure in the Sunspot Recordp. 345
Topological Correlations in 2D Random Cellular Structuresp. 357
Analysis of DNA Oligonucleotide Hybridization Data: By Maximum Entropyp. 363
Bayesian Image Classification Using Markov Random Fieldsp. 375
Global Bayesian Estimation, Constrained Multiscale Markov Random Fields and the Analysis of Visual Motionp. 383
Critical Properties of the 2D Ising Model: A Markovian Approachp. 389
A Comparison of Different Prior Laws for Bayesian Image Reconstruction in Positron Emission Tomographyp. 393
Flexible Prior Models in Bayesian Image Analysisp. 399
Generalized Maximum Entropy. Comparison with Classical Maximum Entropyp. 407
Binary Task Performance on Images Reconstructed Using MEMSYS 3: Comparison of Machine and Human Observersp. 415
3D Reconstruction from Only Two Projections?p. 423
A Closed Form Maximum Entropy Approach for Reconstructing Image from Incomplete Projectionsp. 431
Key Words Indexp. 437
Authors Indexp. 443
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780792322801
ISBN-10: 0792322800
Series: Theory and Decision Library
Audience: General
Format: Hardcover
Language: English
Number Of Pages: 450
Published: 31st July 1993
Publisher: Springer
Country of Publication: NL
Dimensions (cm): 23.39 x 15.6  x 2.54
Weight (kg): 0.82