Content:
Chapter 1 Modeling and Optimization in Image Analysis (pages 1โ14): Jean Louchet
Chapter 2 Artificial Evolution and the Parisian Approach. Applications in the Processing of Signals and Images (pages 15โ43): Pierre Collet and Jean Louchet
Chapter 3 Wavelets and Fractals for Signal and Image Analysis (pages 45โ77): Abdeldjalil Ouahabi and Djedjiga Ait Aouit
Chapter 4 Information Criteria: Examples of Applications in Signal and Image Processing (pages 79โ110): Christian Olivier and Olivier Alata
Chapter 5 Quadratic Programming and Machine Learning โ Large Scale Problems and Sparsity (pages 111โ135): Gaelle Loosli and Stephane Canu
Chapter 6 Probabilistic Modeling of Policies and Application to Optimal Sensor Management (pages 137โ167): Frederic Dambreville, Francis Celeste and Cecile Simonin
Chapter 7 Optimizing Emissions for Tracking and Pursuit of Mobile Targets (pages 169โ193): Jean?Pierre Le Cadre
Chapter 8 Bayesian Inference and Markov Models (pages 195โ217): Christophe Collet
Chapter 9 The Use of Hidden Markov Models for Image Recognition: Learning with Artificial Ants, Genetic Algorithms and Particle Swarm Optimization (pages 219โ243): Sebastien Aupetit, Nicolas Monmarche and Mohamed Slimane
Chapter 10 Biological Metaheuristics for Road Sign Detection (pages 245โ268): Guillaume Dutilleux and Pierre Charbonnier
Chapter 11 Metaheuristics for Continuous Variables. The Registration of Retinal Angiogram Images (pages 269โ299): Johann Dreo, Jean?Claude Nunes and Patrick Siarry
Chapter 12 Joint Estimation of the Dynamics and Shape of Physiological Signals through Genetic Algorithms (pages 301โ328): Amine Nait?Ali and Patrick Siarry
Chapter 13 Using Interactive Evolutionary Algorithms to Help Fit Cochlear Implants (pages 329โ356): Pierre Collet, Pierrick Legrand, Claire Bourgeois?Republique, Vincent Pean and Bruno Frachet