Pattern Recognition and Classification: An Introduction - Tapa dura

Dougherty, Geoff

 
9781461453222: Pattern Recognition and Classification: An Introduction
Tapa dura
ISBN 10: 1461453224 ISBN 13: 9781461453222
Editorial: Springer, 2012

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 later chapters.

This book is suitable for undergraduates and graduates studying pattern recognition and machine learning.

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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.

Editorial
Springer
Año de publicación
2012
Idioma
Inglés
ISBN 10 
1461453224
ISBN 13 
9781461453222
Encuadernación
Tapa dura
Número de páginas
210
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3,69115 Heidelberg, Germany
Heidelberg
69115
Alemania

Otras ediciones populares con el mismo título

9781493953356: Pattern Recognition and Classification: An Introduction

Edición Destacada

ISBN 10:  1493953354 ISBN 13:  9781493953356
Editorial: Springer, 2017
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