WorldCat Linked Data Explorer

Turtle N-Triple JSON-LD RDF/XML HTML Contact Us Home

http://worldcat.org/entity/work/id/19502641

Evolutionary synthesis of pattern recognition systems

Open All Close All

type

about

http://schema.org/about

author

contributor

creator

description

http://schema.org/description

  • "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 book's concepts, principles, and methodologies will enable readers to automatically build robust and flexible systems-in a systematic manner-that can provide human-competitive performance and reduce the cost of designing and maintaining these systems. Its content covers all key aspects of object recognition: object detection, feature selection, feature discovery, object recognition, domain knowledge.-"
  • ""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.""

genre

http://schema.org/genre

  • "Electronic books"
  • "Electronic books"@en
  • "Ressources Internet"

name

http://schema.org/name

  • "Evolutionary synthesis of pattern recognition systems"
  • "Evolutionary synthesis of pattern recognition systems"@en
  • "Evolutionary synthesis of pattern recognition systems : Bir Bhanu, Yingqiang Lin, Krzysztof Krawiec"
  • "Evolutionary Synthesis of Pattern Recognition Systems"
  • "Evolutionary Synthesis of Pattern Recognition Systems"@en

workExample