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Pattern Recognition and Classification by Geoff Dougherty
Pattern Recognition and Classification by Geoff Dougherty
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Pattern Recognition and Classification

An Introduction
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Description

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.

Author Biography:

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
Release date NZ
April 30th, 2017
Audience
  • Professional & Vocational
Edition
Softcover reprint of the original 1st ed. 2013
Illustrations
104 Illustrations, color; 54 Illustrations, black and white; XI, 196 p. 158 illus., 104 illus. in color.
Pages
196
ISBN-13
9781493953356
Product ID
26943451

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Pattern Recognition and Classification on Hardback by Geoff Dougherty
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Pattern Recognition and Classification
by Geoff Dougherty ~ Hardback
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