MARC details
| 000 -LEADER |
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| fixed length control field |
03824nam a2200241Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
NULRC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250520102808.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250520s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781118130667 |
| 040 ## - CATALOGING SOURCE |
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| Transcribing agency |
NULRC |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
QA 76.9 .E46 2015 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Konar, Amit. |
| Relator term |
author |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Emotion recognition: |
| Remainder of title |
a pattern analysis approach / |
| Statement of responsibility, etc. |
Amit Konar and Aruna Chakraborty. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Hoboken, New Jersey : |
| Name of publisher, distributor, etc. |
John Wiley & Son, Inc., |
| Date of publication, distribution, etc. |
c2015 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxxi, 548 pages : |
| Other physical details |
color illustrations ; |
| Dimensions |
24 cm. |
| 500 ## - GENERAL NOTE |
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| General note |
"Written by leaders in the field, this book provides a thorough and insightful presentation of the research methodology on emotion recognition in a highly comprehensive writing style. Topics covered include emotional feature extraction, facial recognition, human-computer interface design, neuro-fuzzy techniques, support vector machine (SVM), reinforcement learning, principal component analysis, the hidden Markov model, and probabilistic models. The result is a innovative edited volume on this timely topic for computer science and electrical engineering students and professionals"--Provided by publisher. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Title Page -- Copyright -- Dedication -- Preface -- Acknowledgments -- Contributors -- Chapter 1: Introduction to Emotion Recognition -- 1.1 Basics of Pattern Recognition -- 1.2 Emotion Detection as a Pattern Recognition Problem -- 1.3 Feature Extraction -- 1.4 Feature Reduction Techniques -- 1.5 Emotion Classification -- 1.6 Multimodal Emotion Recognition -- 1.7 Stimulus Generation for Emotion Arousal -- 1.8 Validation Techniques -- 1.9 Summary -- References -- Author Biographies Chapter 2: Exploiting Dynamic Dependencies Among Action Units for Spontaneous Facial Action Recognition2.1 Introduction -- 2.2 Related Work -- 2.3 Modeling the Semantic and Dynamic Relationships Among Aus With a DBN -- 2.4 Experimental Results -- 2.5 Conclusion -- References -- Author Biographies -- Note -- Chapter 3: Facial Expressions: A Cross-Cultural Study -- 3.1 Introduction -- 3.2 Extraction of Facial Regions and Ekmanâ€"! Action Units -- 3.3 Cultural Variation in Occurrence of Different Aus 3.4 Classification Performance Considering Cultural Variability3.5 Conclusion -- References -- Author Biographies -- Notes -- Chapter 4: A Subject-dependent Facial Expression Recognition System -- 4.1 Introduction -- 4.2 Proposed Method -- 4.3 Experiment Result -- 4.4 Conclusion -- Acknowledgment -- References -- Author Biographies -- Chapter 5: Facial Expression Recognition Using Independent Component Features and Hidden Markov Model -- 5.1 Introduction -- 5.2 Methodology -- 5.3 Experimental Results -- 5.4 Conclusion -- Acknowledgments 7.4 Fuzzy Type-2 Membership Evaluation7.5 Experimental Details -- 7.6 Performance Analysis -- 7.7 Conclusion -- References -- Author Biographies -- Chapter 8: Emotion Recognition from Non-frontal Facial Images -- 8.1 Introduction -- 8.2 A Brief Review of Automatic Emotional Expression Recognition -- 8.3 Databases for Non-Frontal Facial Emotion Recognition -- 8.4 Recent Advances of Emotion Recognition from Non-Frontal Facial Images -- 8.5 Discussions and Conclusions -- Acknowledgments -- References -- Author Biographies |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This book provides a comprehensive examination of the research methodology of different modalities of emotion recognition. Key topics of discussion include facial expression, voice and biopotential signal-based emotion recognition. Special emphasis is given to feature selection, feature reduction, classifier design and multi-modal fusion to improve performance of emotion-classifiers. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
HUMAN-COMPUTER INTERACTION |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Chakraborty, Aruna |
| Relator term |
co-author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Books |
