Pattern Recognition and Classification PDF
By:Geoff Dougherty
Published on 2012-10-28 by Springer Science & Business Media
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.
This Book was ranked at 17 by Google Books for keyword medical computer backgrounds.
Book ID of Pattern Recognition and Classification's Books is SiO5zNb-emMC, Book which was written byGeoff Doughertyhave ETAG "OaOzFe0NFpo"
Book which was published by Springer Science & Business Media since 2012-10-28 have ISBNs, ISBN 13 Code is 9781461453239 and ISBN 10 Code is 1461453232
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Book which have "196 Pages" is Printed at BOOK under CategoryComputers
Book was written in en
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