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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Machine Learning Systems for Multimodal Affect Recognition (Paperback, 1st ed. 2020)
Loot Price: R1,445
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Machine Learning Systems for Multimodal Affect Recognition (Paperback, 1st ed. 2020)
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Markus Kachele 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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