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Synopsis
Explores the heart of pattern recognition concepts, methods and applications using statistical, syntactic and neural approaches. Divided into four sections, it clearly demonstrates the similarities and differences among the three approaches. The second part deals with the statistical pattern recognition approach, starting with a simple example and finishing with unsupervised learning through clustering. Section three discusses the syntactic approach and explores such topics as the capabilities of string grammars and parsing; higher dimensional representations and graphical approaches. Part four presents an excellent overview of the emerging neural approach including an examination of pattern associations and feedforward nets. Along with examples, each chapter provides the reader with pertinent literature for a more in-depth study of specific topics.
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About the Author
Robert J. Schalkoff is the author of Pattern Recognition: Statistical, Structural and Neural Approaches, published by Wiley.
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- PublisherJohn Wiley & Sons
- Publication date1991
- ISBN 10 0471529745
- ISBN 13 9780471529743
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages388
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Pattern Recognition: Statistical, Structural and Neural Approaches
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Pattern Recognition: Statistical, Structural and Neural Approaches
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Pattern Recognition: Statistical, Structural and Neural Approaches
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Pattern Recognition : Statistical, Structural and Neural Approaches
Published by
Wiley & Sons, Incorporated, John, 1991
ISBN 10: 0471529745
ISBN 13: 9780471529743
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Pattern Recognition: Statistical, Structural and Neural Approaches
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Pattern Recognition: Statistical, Structural and Neural Approaches
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Pattern Recognition : Statistical, Structural and Neural Approaches
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Pattern Recognition: Statistical, Structural and Neural Approaches
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Pattern Recognition : Statistical, Structural, and Neural Approaches
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Pattern Recognition (Paperback)
Published by
John Wiley & Sons Inc, New York, 1991
ISBN 10: 0471529745
ISBN 13: 9780471529743
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Seller: AussieBookSeller, Truganina, VIC, Australia
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Paperback. Condition: new. Paperback. Explores the heart of pattern recognition concepts, methods and applications using statistical, syntactic and neural approaches. Divided into four sections, it clearly demonstrates the similarities and differences among the three approaches. The second part deals with the statistical pattern recognition approach, starting with a simple example and finishing with unsupervised learning through clustering. Section three discusses the syntactic approach and explores such topics as the capabilities of string grammars and parsing; higher dimensional representations and graphical approaches. Part four presents an excellent overview of the emerging neural approach including an examination of pattern associations and feedforward nets. Along with examples, each chapter provides the reader with pertinent literature for a more in-depth study of specific topics. An introduction to the concepts, methods and applications of pattern recognition, which demonstrates the similarities and differences among various approaches. Each chapter provides the reader with examples and material for a more in-depth study of specific topics. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780471529743
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