Machine Learning Systems for Multimodal Affect Recognition
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...
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Format: | Electronic eBook |
Language: | English |
Published: |
Wiesbaden :
Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg,
2020.
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Edition: | 1st ed. 2020. |
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Full text (Wentworth users only) |