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Evolutionary Synthesis Pattern Recognition by Bhanu Bir (40 results)
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Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.45.
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Condition: New. pp. 320.
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Evolutionary Synthesis of Pattern Recognition Systems (Monographs in Computer Science) [Hardcover] Bhanu, Bir; Lin, Yingqiang and Krawiec, Krzysztof
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Evolutionary Synthesis of Pattern Recognition Systems (Paperback)
Published by Springer-Verlag New York Inc., New York, NY, 2010
ISBN 10: 1441919430 ISBN 13: 9781441919434
Language: English
Paperback. Condition: new. Paperback. 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. 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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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 (Hardcover)
Published by Springer-Verlag New York Inc., New York, NY, 2005
ISBN 10: 0387212957 ISBN 13: 9780387212951
Language: English
Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Evolutionary Synthesis Of Pattern Recognition Systems
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Evolutionary Synthesis Of Pattern Recognition Systems
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Condition: New. pp. 320.
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Evolutionary Synthesis of Pattern Recognition Systems
Published by Springer-Verlag New York Inc., 2005
ISBN 10: 0387212957 ISBN 13: 9780387212951
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Add to basketCondition: New. 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. Series: Monographs in Computer Science. Num Pages: 320 pages, 95 black & white illustrations, 51 black & white tables, biography. BIC Classification: UYQP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 19. Weight in Grams: 1380. . 2005. Hardback. . . . .
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Evolutionary Synthesis of Pattern Recognition Systems
Published by Springer New York, Springer US Nov 2010, 2010
ISBN 10: 1441919430 ISBN 13: 9781441919434
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: 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.
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US$ 198.89
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Add to basketTaschenbuch. Condition: 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.
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US$ 215.39
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Add to basketGebunden. Condition: New. 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.
