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Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Geoff Dougherty is a Professor of Applied Physics and Medical Imaging at California State University, Channel Islands. He is the Author of Springer's Medical Image Processing, Techniques and Applications
De la contraportada
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 estimating classifier performance and combining classifiers, and details of particular project applications are addressed in the later chapters.
This book is suitable for undergraduates and graduates studying pattern recognition and machine learning.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialSpringer
- Año de publicación2017
- ISBN 10 1493953354
- ISBN 13 9781493953356
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas208
- Contacto del fabricanteno disponible
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Pattern Recognition and Classification
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Condición: 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. Nº de ref. del artículo: 447956399
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Pattern Recognition and Classification: An Introduction
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Pattern Recognition and Classification
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ISBN 13: 9781493953356
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9781493953356
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Pattern Recognition and Classification: An Introduction [Paperback] Dougherty, Geoff (eng)
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Pattern Recognition and Classification : An Introduction
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ISBN 10: 1493953354
ISBN 13: 9781493953356
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9781493953356
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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: An Introduction
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Pattern Recognition and Classification
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Springer New York, Springer New York Apr 2017, 2017
ISBN 10: 1493953354
ISBN 13: 9781493953356
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Taschenbuch. Condición: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch. Nº de ref. del artículo: 9781493953356
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Pattern Recognition and Classification: An Introduction
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