Introduction to Pattern Recognition : Statistical, Structural, Neural and Fuzzy Logic Approaches (Series in Machine Perception and Artificial Intelligence) - Hardcover
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This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology. Most of the topics are accompanied by detailed algorithms and real world applications. In addition to statistical and structural approaches, novel topics such as fuzzy pattern recognition and pattern recognition via neural networks are also reviewed. Each topic is followed by several examples solved in detail. The only prerequisites for using this book are a one-semester course in discrete mathematics and a knowledge of the basic preliminaries of calculus, linear algebra and probability theory.
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Introduction to Pattern Recognition : Statistical, Structural, Neural and Fuzzy Logic Approaches (Series in Machine Perception and Artificial Intelligence)
Published by
World Scientific Publishing Company, 1999
ISBN 10: 9810233124
ISBN 13: 9789810233129
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Introduction to Pattern Recognition : Statistical, Structural, Neural and Fuzzy Logic Approaches (Series in Machine Perception and Artificial Intelligence)
Published by
World Scientific Publishing Company, 1999
ISBN 10: 9810233124
ISBN 13: 9789810233129
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Hardcover
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Introduction to Pattern Recognition : Statistical, Structural, Neural and Fuzzy Logic Approaches (Series in Machine Perception and Artificial Intelligence)
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World Scientific Publishing Comp, 1999
ISBN 10: 9810233124
ISBN 13: 9789810233129
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Introduction to Pattern Recognition: Statistical, Structural, Neural and Fuzzy Logic Approaches (Series in Machine Perception and Artificial Intelligence)
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World Scientific Publishing Co Pte Ltd, 1999
ISBN 10: 9810233124
ISBN 13: 9789810233129
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Introduction to Pattern Recognition: Statistical, Structural, Neural and Fuzzy Logic Approaches (Series in Machine Perception and Artificial Intelligence) (Volume 32)
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World Scientific Publishing Co Pte Ltd, 1999
ISBN 10: 9810233124
ISBN 13: 9789810233129
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Introduction to Pattern Recognition: Statistical, Structural, Neural and Fuzzy Logic Approaches: (Volume 32)
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Condition: Good. Volume 32. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. Dust jacket in good condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9789810233129. Seller Inventory # 8966674
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Introduction to Pattern Recognition: Statistical, Structural, Neural and Fuzzy Logic Approaches (Series in Machine Perception and Artificial Intelligence) (Volume 32)
Published by
World Scientific Publishing Co Pte Ltd, 2000
ISBN 10: 9810233124
ISBN 13: 9789810233129
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Condition: Good. Volume 32. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Dust jacket in fair condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9789810233129. Seller Inventory # 9432201
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Introduction to Pattern Recognition : Statistical, Structural, Neural and Fuzzy Logic Approaches (Series in Machine Perception and Artificial Intelligence)
Published by
World Scientific Publishing Company, 1999
ISBN 10: 9810233124
ISBN 13: 9789810233129
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Introduction to Pattern Recognition: Statistical, Structural, Neural and Fuzzy Logic Approaches
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WORLD SCIENTIFIC PUB CO INC, 1999
ISBN 10: 9810233124
ISBN 13: 9789810233129
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Condition: Gut. Zustand: Gut | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology. Most of the topics are accompanied by detailed algorithms and real world applications. In addition to statistical and structural approaches, novel topics such as fuzzy pattern recognition and pattern recognition via neural networks are also reviewed. Each topic is followed by several examples solved in detail. The only prerequisites for using this book are a one-semester course in discrete mathematics and a knowledge of the basic preliminaries of calculus, linear algebra and probability theory. Seller Inventory # 2472357/3
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