Pattern Recognition and Classification - An Introduction (Paperback, Softcover reprint of the original 1st ed. 2013)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	April 2017
First published:	2013
Authors:	Geoff Dougherty
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Paperback
Pages:	196
Edition:	Softcover reprint of the original 1st ed. 2013
ISBN-13:	978-1-4939-5335-6
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Biology, life sciences > General Books > Computing & IT > Applications of computing > Pattern recognition Books > Science & Mathematics > Mathematics > Applied mathematics > Non-linear science Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	1-4939-5335-4
Barcode:	9781493953356

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