Pattern Recognition and Classification (Record no. 56453)
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000 -LEADER | |
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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. |
336 ## - | |
-- | text |
-- | txt |
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337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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-- | 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. |
912 ## - | |
-- | ZDB-2-SCS |
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