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Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

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Cover of 'Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction'

Table of Contents

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    Book Overview
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    Chapter 1 Active Shape Model vs. Deep Learning for Facial Emotion Recognition in Security
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    Chapter 2 Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes
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    Chapter 3 Human Mobility-Pattern Discovery and Next-Place Prediction from GPS Data
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    Chapter 4 Fusion Architectures for Multimodal Cognitive Load Recognition
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    Chapter 5 Face Recognition in Home Security System Using Tensor Decomposition Based on Radix-(2 × 2) Hierarchical SVD
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    Chapter 6 Performance Analysis of Gesture Recognition Classifiers for Building a Human Robot Interface
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    Chapter 7 On Automatic Question Answering Using Efficient Primal-Dual Models
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    Chapter 8 Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition
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    Chapter 9 Audio Visual Speech Recognition Using Deep Recurrent Neural Networks
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    Chapter 10 Audio-Visual Recognition of Pain Intensity
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    Chapter 11 The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System
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    Chapter 12 Photometric Stereo for 3D Face Reconstruction Using Non Linear Illumination Models
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    Chapter 13 Recursively Measured Action Units
Attention for Chapter 11: The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System
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