Machine Learning Systems for Multimodal Affect Recognition
Author:   Markus Kächele
Publisher:   Springer Fachmedien Wiesbaden
Edition:   1st ed. 2020
ISBN:  

9783658286736


Pages:   188
Publication Date:   03 December 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Machine Learning Systems for Multimodal Affect Recognition


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Author:   Markus Kächele
Publisher:   Springer Fachmedien Wiesbaden
Imprint:   Springer Vieweg
Edition:   1st ed. 2020
Weight:   0.454kg
ISBN:  

9783658286736


ISBN 10:   3658286733
Pages:   188
Publication Date:   03 December 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Classification and Regression Approaches.- Applications and Affective Corpora.- Modalities and Feature Extraction.- Machine Learning for the Estimation of Affective Dimensions.- Adaptation and Personalization of Classifiers.- Experimental Validation.

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Author Information

Dr. Markus Kächele is managing partner of Ikara Vision Systems, a spin-off of the German Research Center for Artificial Intelligence (DFKI). He focuses on bridging the gap between research and industrial applications in the fields of deep learning and computer vision.

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