Pattern Recognition and Classification
Dougherty, Geoff
ISBN 10: 1461453224 ISBN 13: 9781461453222
Verlag: Springer-Verlag New York Inc., 2012
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Softcover
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Beschreibung:
2012. 2013th Edition. Paperback. . . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9781461453222
Inhaltsangabe:
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 later chapters.
This book is suitable for undergraduates and graduates studying pattern recognition and machine learning.
Über die Autorin bzw. den 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
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Titel: Pattern Recognition and Classification
Verlag: Springer-Verlag New York Inc.
Erscheinungsdatum: 2012
Einband: Softcover
Zustand: New
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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 Okt 2012, 2012
ISBN 10: 1461453224
ISBN 13: 9781461453222
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Buch. Zustand: 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. Artikel-Nr. 9781461453222
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Pattern Recognition and Classification : An Introduction
Verlag:
Springer New York, Springer US, 2012
ISBN 10: 1461453224
ISBN 13: 9781461453222
Neu
Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Buch. Zustand: 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. Artikel-Nr. 9781461453222
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Pattern Recognition and Classification: An Introduction
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