Pattern Recognition and Classification (Record no. 56453)

000 -LEADER
fixed length control field 03061nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-1-4614-5323-9
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112038.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121026s2013 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781461453239
-- 978-1-4614-5323-9
082 04 - CLASSIFICATION NUMBER
Call Number 006.4
100 1# - AUTHOR NAME
Author Dougherty, Geoff.
245 10 - TITLE STATEMENT
Title Pattern Recognition and Classification
Sub Title An Introduction /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XI, 196 p. 158 illus., 104 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Classification -- Nonmetric Methods -- Statistical Pattern Recognition -- Supervised Learning -- Nonparametric Learning -- Feature Extraction and Selection -- Unsupervised Learning -- Estimating and Comparing Classifiers -- Projects.
520 ## - SUMMARY, ETC.
Summary, etc 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-5323-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- New York, NY :
-- Springer New York :
-- Imprint: Springer,
-- 2013.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Pattern recognition.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Bioinformatics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational biology.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Algorithms.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistical physics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Pattern Recognition.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Nonlinear Dynamics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Image and Speech Processing.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Appl. in Life Sciences.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Algorithms.
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-- ZDB-2-SCS

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