Machine Learning Systems for Multimodal Affect Recognition - Markus Kachele - Knjige - Springer Fachmedien Wiesbaden - 9783658286736 - 3. decembra 2019
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Machine Learning Systems for Multimodal Affect Recognition 2020 edition

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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.


188 pages, 1 Illustrations, black and white; XIX, 188 p. 1 illus.

Medij Knjige     Paperback Book   (Knjiga z mehkimi platnicami in lepljenim hrbtom)
Izdano 3. decembra 2019
ISBN13 9783658286736
Založniki Springer Fachmedien Wiesbaden
Strani 188
Dimenzije 210 × 147 × 14 mm   ·   274 g
Jezik Nemščina  

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