Evolutionary Synthesis of Pattern Recognition Systems (Monographs in Computer Science)

Bhanu, Bir; Lin, Yingqiang; Krawiec, Krzysztof

ISBN 10: 0387212957 / ISBN 13: 9780387212951

Edité par Springer, 2005

A propos de cet article

Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.

N° de réf. du vendeur SHAK80723

Détails bibliographiques

• Titre: Evolutionary Synthesis of Pattern Recognition Systems (Monographs in Computer Science)
• Éditeur: Springer
• Date de parution: 2005
• Langue: anglais
• ISBN à 10 chiffres: 0387212957
• ISBN à 13 chiffres: 9780387212951
• Reliure: Couverture rigide
• État de l'article: Neuf

A propos de ce titre

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.

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