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20170124071152.8 |
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140626s2014 nju ob 001 0 eng |
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|a 2014025465
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|z 9781118130667 (hardback)
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|a 9781118910566
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|a MAIN
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|a Konar, Amit.
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|a Emotion recognition :
|b a pattern analysis approach /
|c Amit Konar, Aruna Chakraborty.
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|a 1502
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|a Hoboken, New Jersey :
|b John Wiley & Sons, Inc.,
|c 2014.
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300 |
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|a 1 online resource.
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b n
|2 rdamedia
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|a online resource
|b nc
|2 rdacarrier
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|a Includes bibliographical references and index.
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|a "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.
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|a Description based on print version record and CIP data provided by publisher.
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520 |
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|a "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"--
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|a ""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""
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|a ""Chapter 2: Exploiting Dynamic Dependencies Among Action Units for Spontaneous Facial Action Recognition -- 2.1 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 Ekman’s Action Units -- 3.3 Cultural Variation in Occurrence of Different Aus""
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|a ""3.4 Classification Performance Considering Cultural Variability -- 3.5 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""
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|a ""7.4 Fuzzy Type-2 Membership Evaluation -- 7.5 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""
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650 |
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|a Human-computer interaction.
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650 |
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|a Artificial intelligence.
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|a Emotions
|x Computer simulation.
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650 |
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|a Pattern recognition systems.
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|a Context-aware computing.
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|a TECHNOLOGY & ENGINEERING / Electronics / Digital.
|2 bisacsh
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|a COMPUTERS / Computer Vision & Pattern Recognition.
|2 bisacsh
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|a Artificial intelligence.
|2 fast
|0 (OCoLC)fst00817247
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650 |
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7 |
|a Context-aware computing.
|2 fast
|0 (OCoLC)fst01746610
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650 |
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|a Emotions
|x Computer simulation.
|2 fast
|0 (OCoLC)fst00908821
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650 |
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7 |
|a Human-computer interaction.
|2 fast
|0 (OCoLC)fst00963494
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7 |
|a Pattern recognition systems.
|2 fast
|0 (OCoLC)fst01055266
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655 |
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|a Electronic books.
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700 |
1 |
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|a Chakraborty, Aruna,
|d 1977-
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776 |
0 |
8 |
|i Print version:
|a Konar, Amit.
|t Emotion recognition
|d Hoboken, New Jersey : John Wiley & Sons, Inc., 2014
|z 9781118130667
|w (DLC) 2014024314
|
856 |
4 |
0 |
|u https://doi.org/10.1002/9781118910566
|z Full Text via HEAL-Link
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994 |
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|a 92
|b DG1
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