Machine Learning Systems for Multimodal Affect Recognition - Markus Kachele - Books - Springer Fachmedien Wiesbaden - 9783658286736 - December 3, 2019
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Machine Learning Systems for Multimodal Affect Recognition 2020 edition

Markus Kachele

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Machine Learning Systems for Multimodal Affect Recognition 2020 edition

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.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released December 3, 2019
ISBN13 9783658286736
Publishers Springer Fachmedien Wiesbaden
Pages 188
Dimensions 210 × 147 × 14 mm   ·   274 g
Language German  

See all of Markus Kachele ( e.g. Paperback Book )