Name: Machine Learning Systems for Multimodal Affect Recognition
SKU: 62104862
Price: 2311.00 TWD
Availability: InStock
Author: Markus Kächele
ISBN: 9783658286736

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Machine Learning Systems for Multimodal Affect Recognition

Type

Physical Book

Publisher

Springer Vieweg

Author

Markus Kächele

Language

English

Pages

207

Format

Paperback

ISBN13

9783658286736

Edition No.

Machine Learning Systems for Multimodal Affect Recognition

Markus Kächele (Author) · Springer Vieweg · Paperback

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Synopsis "Machine Learning Systems for Multimodal Affect Recognition"

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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Machine Learning Systems for Multimodal Affect Recognition - Markus Kächele

Synopsis "Machine Learning Systems for Multimodal Affect Recognition"

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