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Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: 4th IAPR TC 9 Worksh


Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: 4th IAPR TC 9 Worksh
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Lieferzeit: 7-14 Werktage

  • 10452900


Beschreibung

Active Shape Model Vs. Deep Learning for Facial Emotion Recognition in Security.- Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes.- Human Mobility-Pattern Discovery and Next-Place Prediction from GPS data.- Fusion Architectures for Multimodal Cognitive Load Recognition.- Face Recognition in Home Security System Using Tensor Decomposition Based on Radix Hierarchical SVD.- Performance analysis of gesture recognition classifiers for building a human robot interface.- On Automatic Question Answering Using Efficient Primal-dual Models.- Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition.- Audio Visual Speech Recognition Using Deep Recurrent Neural Networks.- Audio-Visual Recognition of Pain Intensity.- The Sense Emotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System.- Photometric Stereo for 3D face reconstruction using non linear illumination models.- Recursively Measured Action Units.

Eigenschaften

Breite: 156
Gewicht: 273 g
Höhe: 11
Länge: 237
Seiten: 161
Sprachen: Englisch
Autor: Friedhelm Schwenker, Stefan Scherer

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