Evolutionary Synthesis of Pattern Recognition Systems
Language: English
Published by Springer New York Nov 2010, 2010
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 140.11
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Add to basketItem description from seller
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.
Seller Inventory # 9781441919434
- Title
- Evolutionary Synthesis of Pattern Recognition Systems
- Author
- Bir Bhanu
- Publisher
- Springer New York Nov 2010
- Publication year
- 2010
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1441919430
- ISBN 13
- 9781441919434
- Item weight
- 487 grams
- Dimensions
- 235x155x18 mm
- Series
- Book 1 of 16: Monographs in Computer Science
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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 thecomputational 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.
"About the title" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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