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Machine Learning Systems for Multimodal Affect Recognition
Engelsk Paperback
Machine Learning Systems for Multimodal Affect Recognition
Engelsk Paperback

573 kr
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Om denne bog

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. 

Product detaljer
Sprog:
Engelsk
Sider:
188
ISBN-13:
9783658286736
Indbinding:
Paperback
Udgave:
ISBN-10:
3658286733
Kategori:
Udg. Dato:
3 dec 2019
Længde:
0mm
Bredde:
148mm
Højde:
210mm
Forlag:
Springer Fachmedien Wiesbaden
Oplagsdato:
3 dec 2019
Forfatter(e):
Kategori sammenhænge