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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
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Title
Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction : Third IAPR TC3 Workshop, MPRSS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-14899-1
ISBNs
978-3-31-914898-4, 978-3-31-914899-1
Editors

Schwenker, Friedhelm, Morency, Louis-Philippe, Scherer, Stefan

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 5%
Unknown 20 95%
Readers by discipline Count As %
Neuroscience 1 5%
Unknown 20 95%