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Machine Learning Systems for Multimodal Affect Recognition

Language EnglishEnglish
Book Paperback
Book Machine Learning Systems for Multimodal Affect Recognition Markus Kächele
Libristo code: 25139280
Publishers Springer Fachmedien Wiesbaden, December 2019
Markus Kächele offers a detailed view on the different steps in the affective computing pipeline, ra... Full description
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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. 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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About the book

Full name Machine Learning Systems for Multimodal Affect Recognition
Author Markus Kächele
Language English
Binding Book - Paperback
Date of issue 2019
Number of pages 188
EAN 9783658286736
Libristo code 25139280
Publishers Springer Fachmedien Wiesbaden
Weight 454
Dimensions 148 x 210 x 12

Categories

Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
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