Articles liés à Machine Learning Systems for Multimodal Affect Recognition

Machine Learning Systems for Multimodal Affect Recognition - Couverture souple

Kächele, Markus

 
9783658286736: Machine Learning Systems for Multimodal Affect Recognition
Couverture souple
ISBN 10 : 3658286733 ISBN 13 : 9783658286736
Editeur : Springer Vieweg, 2019

Synopsis

Markus Kächele offers a detailed view on the different steps in the affective computing pipeline, ranging from corpus design and recording over annotation and feature extraction to post-processing, classification of individual modalities and fusion in the context of ensemble classifiers. He focuses on multimodal recognition of discrete and continuous emotional and medical states. As such, specifically the peculiarities that arise during annotation and processing of continuous signals are highlighted. Furthermore, methods are presented that allow personalization of datasets and adaptation of classifiers to new situations and persons. 

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À propos de l'auteur

Dr. Markus Kächele is managing partner of Ikara Vision Systems, a spin-off of the German Research Center for Artificial Intelligence (DFKI). He focuses on bridging the gap between research and industrial applications in the fields of deep learning and computer vision.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Vieweg
Date d'édition
2019
Langue
anglais
ISBN 10 
3658286733
ISBN 13 
9783658286736
Reliure
Broché
Nombre de pages
208
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