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portada Pattern Recognition And Classification: An Introduction
Type
Physical Book
Author
Publisher
Year
2017
Language
English
Pages
196
Format
Paperback
Dimensions
23.4 x 15.6 x 1.1 cm
Weight
0.30 kg.
ISBN13
9781493953356
Categories

Pattern Recognition And Classification: An Introduction

Geoff Dougherty (Author) · Springer · Paperback

Pattern Recognition And Classification: An Introduction - Dougherty, Geoff

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Synopsis "Pattern Recognition And Classification: An Introduction"

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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