Pattern recognition / (Record no. 727)

MARC details
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 090602s2009 ne a b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1597492728 (hbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781597492720
035 ## - SYSTEM CONTROL NUMBER
System control number (Sirsi) u1664
040 ## - CATALOGING SOURCE
Original cataloging agency EG-CaNU
Transcribing agency EG-CaNU
Modifying agency EG-CaNU
042 ## - AUTHENTICATION CODE
Authentication code ncode
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.4
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Theodoridis, Sergios,
Dates associated with a name 1951-
9 (RLIN) 2271
245 10 - TITLE STATEMENT
Title Pattern recognition /
Statement of responsibility, etc. Sergios Theodoridis, Konstantinos Koutroumbas.
250 ## - EDITION STATEMENT
Edition statement 4th ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Amsterdam ;
-- London :
Name of publisher, distributor, etc. Elsevier/Academic Press,
Date of publication, distribution, etc. c2009.
300 ## - PHYSICAL DESCRIPTION
Extent a xvii, 961 p. :
Other physical details ill. ;
Dimensions 25 cm.
500 ## - GENERAL NOTE
General note Previous ed.: Amsterdam: Academic, 2003.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 2. Classifiers based on Bayes Decision -- 3. Linear Classifiers -- 4. Nonlinear Classifiers -- 5. Feature Selection -- 6. Feature Generation I: Data Transformation and Dimensionality Reduction -- 7. Feature Generation II -- 8. Template Matching -- 9. Context Depedant Clarification -- 10. System Evaultion -- 11. Clustering: Basic Concepts -- 12. Clustering Algorithms: Algorithms L Sequential -- 13. Clustering Algorithms II: Hierarchical -- 14. Clustering Algorithms III: Based on Function Optimization -- 15. Clustering Algorithms IV: Clustering -- 16. Cluster Validity.
520 ## - SUMMARY, ETC.
Summary, etc. This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback.
596 ## -
-- 1
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Pattern recognition systems.
9 (RLIN) 2272
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Koutroumbas, Konstantinos,
Dates associated with a name 1967-
9 (RLIN) 2273
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Total Renewals Full call number Barcode Date last seen Date last checked out Copy number Price effective from Koha item type
    Dewey Decimal Classification     Main library Main library General Stacks 01/26/2020 ARAOA-P 4 7 006.4 / TH.P 2009 004244 11/06/2022 10/09/2022 1 11/24/2019 Books