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Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction : Third IAPR TC3 Workshop, MPRSS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers

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Cover of 'Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction : Third IAPR TC3 Workshop, MPRSS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers'

Table of Contents

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    Book Overview
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    Chapter 1 Automatic Image Collection of Objects with Similar Function by Learning Human Grasping Forms
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    Chapter 2 Client Specific Image Gradient Orientation for Unimodal and Multimodal Face Representation
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    Chapter 3 Multiple-manifolds Discriminant Analysis for Facial Expression Recognition from Local Patches Set
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    Chapter 4 Monte Carlo Based Importance Estimation of Localized Feature Descriptors for the Recognition of Facial Expressions
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    Chapter 5 Noisy Speech Recognition Based on Combined Audio-Visual Classifiers
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    Chapter 6 Complementary Gaussian Mixture Models for Multimodal Speech Recognition
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    Chapter 7 Fusion of Text and Audio Semantic Representations Through CCA
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    Chapter 8 uulmMAD – A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances
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    Chapter 9 A Real Time Gesture Recognition System for Human Computer Interaction
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    Chapter 10 A SIFT-Based Feature Level Fusion of Iris and Ear Biometrics
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    Chapter 11 Audio-Visual User Identification in HCI Scenarios
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    Chapter 12 Towards an Adaptive Brain-Computer Interface – An Error Potential Approach
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    Chapter 13 Online Smart Face Morphing Engine with Prior Constraints and Local Geometry Preservation
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    Chapter 14 Exploring Alternate Modalities for Tag Recommendation
Attention for Chapter 4: Monte Carlo Based Importance Estimation of Localized Feature Descriptors for the Recognition of Facial Expressions
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Citations

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Chapter title
Monte Carlo Based Importance Estimation of Localized Feature Descriptors for the Recognition of Facial Expressions
Chapter number 4
Book title
Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction
Published by
Springer, Cham, August 2014
DOI 10.1007/978-3-319-14899-1_4
Book ISBNs
978-3-31-914898-4, 978-3-31-914899-1
Authors

Markus Kächele, Günther Palm, Friedhelm Schwenker

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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