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Pattern Recognition and Classification This volume, both comprehensive and accessible, introduces all the key concepts in pattern recognition, and includes many examples and exercises that make it an ideal guide to an important methodology widely deployed in today's ubiquitous automated systems. Full description
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This volume, both comprehensive and accessible, introduces all the key concepts in pattern recognition, and includes many examples and exercises that make it an ideal guide to an important methodology widely deployed in today's ubiquitous automated systems.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer-Verlag New York Inc.
- Date d'édition2012
- ISBN 10 1461453224
- ISBN 13 9781461453222
- ReliureRelié
- Nombre de pages196
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Pattern Recognition and Classification: An Introduction by Dougherty, Geoff [Hardcover ]
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Pattern Recognition and Classification: An Introduction
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Pattern Recognition and Classification : An Introduction
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Pattern Recognition and Classification
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Description du livre Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a number of notable books in the field, the subject remains very challenging, especially for the beginner. Pattern Recognition and Classification presents a comprehensive introduction to the core concepts involved in automated pattern recognition. It is designed to be accessible to newcomers from varied backgrounds, but it will also be useful to researchers and professionals in image and signal processing and analysis, and in computer vision. Fundamental concepts of supervised and unsupervised classification are presented in an informal, rather than axiomatic, treatment so that the reader can quickly acquire the necessary background for applying the concepts to real problems. More advanced topics, such as semi-supervised classification, combining clustering algorithms and relevance feedback are addressed in the laterchapters. This book is suitable for undergraduates and graduates studying pattern recognition and machine learning. 208 pp. Englisch. N° de réf. du vendeur 9781461453222
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Pattern Recognition and Classification: An Introduction
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ISBN 13 : 9781461453222
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Description du livre Hardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. N° de réf. du vendeur C9781461453222
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Pattern Recognition and Classification: An Introduction
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Pattern Recognition and Classification
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Description du livre Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A comprehensive yet accessible introduction to the core concepts behind pattern recognition Presents the funadmental concepts of supervised and unsupervised classification in an informal treatment, allowing the reader to quickly apply these conce. N° de réf. du vendeur 4198712
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Pattern Recognition and Classification : An Introduction
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Springer New York
(2012)
ISBN 10 : 1461453224
ISBN 13 : 9781461453222
Neuf
Couverture rigide
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Description du livre Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a number of notable books in the field, the subject remains very challenging, especially for the beginner. Pattern Recognition and Classification presents a comprehensive introduction to the core concepts involved in automated pattern recognition. It is designed to be accessible to newcomers from varied backgrounds, but it will also be useful to researchers and professionals in image and signal processing and analysis, and in computer vision. Fundamental concepts of supervised and unsupervised classification are presented in an informal, rather than axiomatic, treatment so that the reader can quickly acquire the necessary background for applying the concepts to real problems. More advanced topics, such as semi-supervised classification, combining clustering algorithms and relevance feedback are addressed in the laterchapters. This book is suitable for undergraduates and graduates studying pattern recognition and machine learning. N° de réf. du vendeur 9781461453222
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EUR 121,66
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