Evolutionary Synthesis of Pattern Recognition Systems review ç 104

Summary Evolutionary Synthesis of Pattern Recognition Systems

Evolutionary Synthesis of Pattern Recognition Systems review ç 104 ´ Evolutionary computation is becoming increasingly important for computer vision and pattern recognition and provides a systematic way of synthesis and analysis of object detection and recognition systems Incorporating learning into recognition sysIon systems by using adaptive coevolutionary linear genetic programming LGP in conjunction with general computer vision and image processing operatorsThe purpose of incorporating learning into the system design is to avoid the time consuming process of feature generation and selection and to reduce the cost of building object detection and recognition systemsResearchers professionals engineers and students working in computer vision pattern recognition target recognition machine learning evolutionary learning image processing knowledge discovery and data mining cybernetics robotics automation and psychology will find this well developed and organized volume an invaluable resource.

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D recognition systems The book achieves four aimsShows the efficacy of genetic programming and coevolutionary genetic programming in synthesizing effective composite operators and composite features from domain independent primitive image processing operations and primitive features both elementary and complex for object detection and recognitionIntegrates smart crossover smart mutation and a new fitness function based on minimum description length MDL principle in a design to improve genetic programming's efficiencyProposes a new MDL based fitness function to improve the genetic algorithm's performance on feature selection for object detection and recognitionSynthesizes recognit.

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Evolutionary Synthesis of Pattern Recognition SystemsEvolutionary computation is becoming increasingly important for computer vision and pattern recognition and provides a systematic way of synthesis and analysis of object detection and recognition systems Incorporating learning into recognition systems will enable these systems to automatically generate new features on the fly and cleverly select a good subset of features according to the type of objects and images to which they are appliedThis uniue monograph investigates evolutionary computational techniues such as genetic programming linear genetic programming coevolutionary genetic programming and genetic algorithms to automate the synthesis and analysis of object detection an.