Machine Learning Systems for Multimodal Affect Recognition
Markus Kachele
Springer Fachmedien Wiesbaden, 2019
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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.
- ISBN-13
- 9783658286736
- ISBN-10
- 3658286733
- Publisher
- Springer Fachmedien Wiesbaden
- Year
- 2019
- Publication date
- 2019-12-03
- Pages
- 188
- Dimensions
- 147x210x14
- Weight
- 274