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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 / edited by Friedhelm Schwenker, Stefan Scherer, Louis-Philippe Morency.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Schwenker, Friedhelm, editor.
Scherer, Stefan, editor.
Morency, Louis-Philippe, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 8869.
Lecture Notes in Artificial Intelligence ; 8869
Language:
English
Subjects (All):
Optical data processing.
User interfaces (Computer systems).
Artificial intelligence.
Pattern perception.
Application software.
Computers and civilization.
Image Processing and Computer Vision.
User Interfaces and Human Computer Interaction.
Artificial Intelligence.
Pattern Recognition.
Information Systems Applications (incl. Internet).
Computers and Society.
Local Subjects:
Image Processing and Computer Vision.
User Interfaces and Human Computer Interaction.
Artificial Intelligence.
Pattern Recognition.
Information Systems Applications (incl. Internet).
Computers and Society.
Physical Description:
1 online resource (VIII, 145 pages) : 75 illustrations.
Edition:
First edition 2015.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2015.
System Details:
text file PDF
Summary:
This book constitutes the thoroughly refereed post-workshop proceedings of the Third IAPR TC3 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of the International Conference on Pattern Recognition, ICPR 2014. The 14 revised papers presented focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition, user identification, and recognition of human activities.
Contents:
Automatic Image Collection of Objects with Similar Function by Learning Human Grasping Forms
Client Specific Image Gradient Orientation for Unimodal and Multimodal Face Representation
Multiple-Manifolds Discriminant Analysis for Facial Expression Recognition from Local Patches Set
Monte Carlo Based Importance Estimation of Localized Feature Descriptors for the Recognition of Facial Expressions
Noisy Speech Recognition Based on Combined Audio-Visual Classifiers
Complementary Gaussian Mixture Models for Multimodal Speech Recognition
Fusion of Text and Audio Semantic Representations Through CCA
uulmMAD - A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances
A Real Time Gesture Recognition System for Human Computer Interaction
A SIFT-Based Feature Level Fusion of Iris and Ear Biometrics
Audio-Visual User Identification in HCI Scenarios
Towards an Adaptive Brain-Computer Interface - An Error Potential Approach
Online Smart Face Morphing Engine with Prior Constraints and Local Geometry Preservation
Exploring Alternate Modalities for Tag Recommendation.
Other Format:
Printed edition:
ISBN:
978-3-319-14899-1
9783319148991
Access Restriction:
Restricted for use by site license.

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