Multimodal pattern recognition of so...
Schwenker, Friedhelm.

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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 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Multimodal pattern recognition of social signals in human-computer-interaction/ edited by Friedhelm Schwenker, Stefan Scherer, Louis-Philippe Morency.
    Reminder of title: third IAPR TC3 Workshop, MPRSS 2014, Stockholm, Sweden, August 24, 2014 : revised selected papers /
    remainder title: MPRSS 2014
    other author: Schwenker, Friedhelm.
    Published: Cham :Springer International Publishing : : 2015.,
    Description: viii, 145 p. :ill., digital ;24 cm.
    [NT 15003449]: 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.
    Contained By: Springer eBooks
    Subject: Human-computer interaction - Congresses. -
    Online resource: http://dx.doi.org/10.1007/978-3-319-14899-1
    ISBN: 9783319148991 (electronic bk.)
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