Articles liés à Evolutionary Synthesis of Pattern Recognition Systems
Synopsis
Evolutionary computation is becoming increasingly important for computer vision and pattern recognition. It provides a systematic way of synthesizing and analyzing object detection and pattern recognition systems. Incorporating "learning" into recognition systems will enable these systems to automatically generate new features on the fly (evolve) and cleverly select a good subset of features according to the type of objects and images to which they are applied. This book investigates evolutionary computational techniques---such as genetic programming, linear genetic programming, coevolutionary genetic programming and genetic algorithms---to automate the synthesis and analysis of object detection and recognition systems.
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Présentation de l'éditeur
Integrates computer vision, pattern recognition, and AI. Presents original research that will benefit researchers and professionals in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data mining, cybernetics, robotics, automation and psychology
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Evolutionary Synthesis of Pattern Recognition Systems (Monographs in Computer Science)
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Evolutionary Synthesis of Pattern Recognition Systems (Monographs in Computer Science)
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Evolutionary Synthesis of Pattern Recognition Systems (Monographs in Computer Science)
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Evolutionary Synthesis of Pattern Recognition Systems
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Springer New York Nov 2010, 2010
ISBN 10 : 1441919430
ISBN 13 : 9781441919434
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Integrates computer vision, pattern recognition, and AI.Presents original research that will benefitresearchers and professionalsin computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data mining, cybernetics, robotics, automation and psychology 320 pp. Englisch. N° de réf. du vendeur 9781441919434
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Evolutionary Synthesis of Pattern Recognition Systems
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Springer New York, 2010
ISBN 10 : 1441919430
ISBN 13 : 9781441919434
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Integrates computer vision, pattern recognition, and AIPresents original research that will benefit researchers and professionals in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image. N° de réf. du vendeur 4172506
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Evolutionary Synthesis of Pattern Recognition Systems
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Evolutionary Synthesis of Pattern Recognition Systems
Edité par
Springer New York, Springer US Nov 2010, 2010
ISBN 10 : 1441919430
ISBN 13 : 9781441919434
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Neuware -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 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 applied.This unique monograph investigates evolutionary computational techniques--such as genetic programming, linear genetic programming, coevolutionary genetic programming and genetic algorithms--to automate the synthesis and analysis of object detection and recognition systems.The 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 systems.Researchers, 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 320 pp. Englisch. N° de réf. du vendeur 9781441919434
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Evolutionary Synthesis of Pattern Recognition Systems
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 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 applied.This unique monograph investigates evolutionary computational techniques--such as genetic programming, linear genetic programming, coevolutionary genetic programming and genetic algorithms--to automate the synthesis and analysis of object detection and recognition systems.The 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 systems.Researchers, 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. N° de réf. du vendeur 9781441919434
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Evolutionary Synthesis of Pattern Recognition Systems
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Evolutionary Synthesis of Pattern Recognition Systems
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