Monographs in Computer Science

Evolutionary Synthesis of Pattern Recognition Systems

Authors: Bhanu, Bir, Yingqiang, Lin, Krawiec, Krzysztof

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  • ISBN 978-0-387-24452-5
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Hardcover $189.00
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  • ISBN 978-1-4419-1943-4
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About this book

Designing object detection and recognition systems that work in the real world is a challenging task due to various factors including the high complexity of the systems, the dynamically changing environment of the real world and factors such as occlusion, clutter, articulation, and various noise contributions that make the extraction of reliable features quite difficult.

Evolutionary Synthesis of Pattern Recognition Systems presents novel effective approaches based on evolutionary computational techniques, such as genetic programming (GP), linear genetic programming (LGP), coevolutionary genetic programming (CGP) and genetic algorithms (GA) 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. Basic knowledge of programming and data structures, and some calculus, is presupposed.

Topics and Features:

*Presents integrated coverage of object detection/recognition systems

*Describes how new system features can be generated "on the fly," and how systems can be made flexible and applied to a variety of objects and images

*Demonstrates how object detection and recognition systems can be automatically designed and maintained in a relatively inexpensive way

*Explains automatic synthesis and creation of programs (which saves valuable human and economic resources)

*Focuses on results using real-world imagery, thereby concretizing the book’s novel ideas

This accessible monograph provides the computational foundation for evolutionary synthesis involving pattern recognition and is an ideal overview of the latest concepts and technologies. Computer scientists, researchers, and electrical and computer engineers will find the book a comprehensive resource, and it can serve equally well as a text/reference for advanced students and professional self-study.

Table of contents (1 chapters)

Buy this book

eBook $149.00
price for USA
  • ISBN 978-0-387-24452-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $189.00
price for USA
  • ISBN 978-0-387-21295-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • ISBN 978-1-4419-1943-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Evolutionary Synthesis of Pattern Recognition Systems
Authors
Series Title
Monographs in Computer Science
Copyright
2005
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York
eBook ISBN
978-0-387-24452-5
DOI
10.1007/b105515
Hardcover ISBN
978-0-387-21295-1
Softcover ISBN
978-1-4419-1943-4
Series ISSN
0172-603X
Edition Number
1
Number of Pages
XXIV, 296
Number of Illustrations and Tables
95 b/w illustrations
Topics