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Machine Learning Systems for Multimodal Affect Recognition (Paperback, 1st ed. 2020) Loot Price: R1,445
Discovery Miles 14 450
Repayment Terms: R135 pm x 12*
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Machine Learning Systems for Multimodal Affect Recognition (Paperback, 1st ed. 2020): Markus Kachele

Machine Learning Systems for Multimodal Affect Recognition (Paperback, 1st ed. 2020)

Markus Kachele

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Loot Price R1,445 Discovery Miles 14 450 | Repayment Terms: R135 pm x 12*

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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.

General

Imprint: Springer Vieweg
Country of origin: Germany
Release date: December 2019
First published: 2020
Authors: Markus Kachele
Dimensions: 210 x 148mm (L x W)
Format: Paperback
Pages: 188
Edition: 1st ed. 2020
ISBN-13: 978-3-658-28673-6
Categories: Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
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LSN: 3-658-28673-3
Barcode: 9783658286736

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