Téléchargez le livre : Machine Learning Systems for Multimodal Affect Recognition

Machine Learning Systems for Multimodal Affect Recognition



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Éditeur :

Springer Vieweg


Paru le : 2019-11-19



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Description

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. 
Pages
188 pages
Collection
n.c
Parution
2019-11-19
Marque
Springer Vieweg
EAN papier
9783658286736
EAN PDF
9783658286743
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
4977 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
68,56 €

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.

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