Machine Learning Systems for Multimodal Affect Recognition

Kachele, Markus

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.
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Writer
Kachele, Markus
Title
Machine Learning Systems for Multimodal Affect Recognition
Publisher
Springer Fachmedien Wiesbaden
Year
2019
Language
English
Pages
188
Weight
274 gr
EAN
9783658286736
Dimensions
147 x 210 x 14 mm
Binding format
Paperback / softback

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Categories

Boekstra