Machine Learning Systems for Multimodal Affect Recognition

Language: English

Published by Springer Dez 2019, 2019

3658286733 / 9783658286736

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch.

Seller Inventory # 9783658286736

Title
Machine Learning Systems for Multimodal Affect Recognition
Author
Markus Kächele
Publisher
Springer Dez 2019
Publication year
2019
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3658286733
ISBN 13
9783658286736
Item weight
276 grams
Dimensions
210x148x12 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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