Pattern Recognition in Practice IV : (Record no. 874903)

001 - CONTROL NUMBER
control field EBL1877028
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
additional material characteristics m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr -n---------
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170519s2015||||||| s|||||||||||eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781483297842
Terms of availability 131.31 (NL),131.31 (UA),109.43 (3U),87.54 (1U)
035 ## - SYSTEM CONTROL NUMBER
System control number EBL1877028
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)651726536
040 ## - CATALOGING SOURCE
Original cataloging agency AU-PeEL
Language of cataloging eng
Transcribing agency AU-PeEL
Modifying agency AU-PeEL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q327 -- .P379 1994
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.4
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (OCLC)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) Q327 -- .P379 1994
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Gelsema, E. S.
245 10 - TITLE STATEMENT
Title Pattern Recognition in Practice IV :
Remainder of title Multiple Paradigms, Comparative Studies and Hybrid Systems
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Amsterdam :
Name of publisher, distributor, etc Elsevier Science,
Date of publication, distribution, etc 2015.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (593 p.)
490 0# - SERIES STATEMENT
Series statement eBooks on Demand
490 1# - SERIES STATEMENT
Series statement Machine Intelligence and Pattern Recognition ;
Volume number/sequential designation v.Volume 16
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Front Cover -- Pattem Recognition in Practice IV: Multiple Paradigms, Comparative Studies and Hybrid Systems -- Copyright Page -- Table of Contents -- PREFACE -- ACKNOWLEDGEMENTS -- PART I: PATTERN RECOGNITION -- Chapter 1. Patterns in the role of knowledge representation -- 1. INTRODUCEN -- 2. PATTERN REPRESENTATION -- 3. PATTERN RELATIONS -- 4. METMIC -- 5. HUMAN INTERACTION -- 6. PROJECTS -- 7. CONCLUSION -- APPENDIX -- REFERENCES -- Chapter 2. Application of evidence theory to k-NN pattern classification -- 1. D-S THEORY -- 2. THE METHOD -- 3. SIMULATION RESULTS -- 4. CONCLUSION
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note REFERENCES -- Chapter 3. Decision trees and domain knowledge in pattern recognition -- 1. INTRODUCTION -- 2. OVERVIEW OF DECISION TREE METHODOLOGIES -- 3. A FRAMEWORK FOR DECISION TREE CONSTRUCTION -- 4. EXPERIMENTAL EVALUATION -- 5. CONCLUSIONS -- REFERENCES -- Chapter 4. Object recognition using hidden Markov models -- 1. INTRODUCTION -- 2. STATISTICAL OBJECT RECOGNITION -- 3. HIDDEN MARKOV MODELS -- 4. OBJECT ORIENTED IMPLEMENTATION OF HMMS -- 5. AFFINE INVARIANT FEATURES -- 6. EXPERIMENTAL RESULTS -- 7. SUMMARY AND CONCLUSIONS -- ACKNOWLEDGEMENT -- REFERENCES
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 5. Inference of syntax for point sets -- 1. INTRODUCTION -- 2. CHUNKING -- 3. LOW ORDER MOMENT DESCRIPTORS -- 4. INFERENCE -- 5. GENERALISATION -- 6. INVARIANCE -- 7. NOISE -- 8. BINDING AND OCCLUSION -- 9. NEURAL MODELS -- 10. SUMMARY AND CONCLUSIONS -- REFERENCES -- Chapter 6. Recognising cubes in images -- 1. INTRODUCTION -- 2. FINDING LINE SEGMENTS -- 3. FINDING SQUARES -- 4. FINDING CUBES -- 5. NOISE -- 6. INVARIANCE AND MANIFOLDS -- 7. OCCLUSION -- 8. CONCLUSION -- REFERENCES -- Chapter 7. Syntactic pattern classification of moving objects in a domestic environment
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 1. INTRODUCTION -- 2. METHOD -- 3. RESULTS -- 4. ROBUSTNESS -- 5. CONCLUSION AND FURTHER WORK -- REFERENCES -- Chapter 8. Initializing the EM algorithm for use in Gaussian mixture modelling -- 1. INTRODUCTION -- 2. THE EM ALGORITHM -- 3. CONVERGENCE AND INITIAL CONDITIONS -- 4. CLUSTERING TECHNIQUES -- 5. THE DOG RABBIT STRATEGY -- 6. RESULTS -- 7. CONCLUSION AND SUMMARY -- REFERENCES -- Chapter 9. Predicting REM in sleep EEG using a structural approach -- 1. INTRODUCTION -- 2. MODELING FRAMEWORK -- 3. METHODOLOGY -- 4. EXAMPLE -- 5. CONCLUSIONS -- REFERENCES -- Discussions Part I: Paper Vamos
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note PART II: SIGNAL- AND IMAGE PROCESSING -- Chapter 10. On the problem of restoring original structure of signals (images) corrupted by noise -- 1. INTRODUCTION -- 2. PIECE-WISE-LINEAR REGRESSION -- 3. MODEL SELECTION PROBLEM -- 4. APPLICATION TO IMAGE ANALYSIS -- 5. ROBUST REGRESSION AND HOUGH TRANSFORM -- 6. SUMMARY -- REFERENCES -- Chapter 11. Reflectance ratios: An extension of Land's retinex theory -- 1. INTRODUCTION -- 2. REFLECTANCE RATIOS -- 3. RECOGNITION USING REFLECTANCE RATIOS -- 4. EXPERIMENTS -- 5. DISCUSSION -- REFERENCES -- Chapter 12. A segmentation algorithm based on AI techniques
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 1. INTRODUCTION
520 ## - SUMMARY, ETC.
Summary, etc The era of detailed comparisons of the merits of techniques of pattern recognition and artificial intelligence and of the integration of such techniques into flexible and powerful systems has begun. So confirm the editors of this fourth volume of Pattern Recognition in Practice, in their preface to the book. The 42 quality papers are sourced from a broad range of international specialists involved in developing pattern recognition methodologies and those using pattern recognition techniques in their professional work. The publication is divided into six sections: Pattern Recognition, Signal an
588 ## -
-- Description based upon print version of record.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence -- Congresses.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Image processing -- Congresses.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern perception -- Congresses.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Signal processing -- Congresses.
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kanal, L. N.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Main entry heading Gelsema, E. S.
Title Pattern Recognition in Practice IV: Multiple Paradigms, Comparative Studies and Hybrid Systems
Place, publisher, and date of publication Amsterdam : Elsevier Science,c2015
International Standard Book Number 9780444818928
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Machine Intelligence and Pattern Recognition
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://uttyler.eblib.com/patron/FullRecord.aspx?p=1877028">http://uttyler.eblib.com/patron/FullRecord.aspx?p=1877028</a>
Link text Click here to view this ebook.
901 ## - LOCAL DATA ELEMENT A, LDA (RLIN)
Platform EBL
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Electronic Book
Source of classification or shelving scheme
Holdings
Withdrawn status Lost item Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Uniform Resource Identifier Price effective from Koha item type
          UT Tyler Online UT Tyler Online Online 01/07/2015   Q327 .P379 2014 EBL1877028 01/07/2015 http://uttyler.eblib.com/patron/FullRecord.aspx?p=1877028 01/07/2015 Electronic Book