Machine Learning Systems for Multimodal Affect Recognition
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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.
The book, Machine Learning Systems for Multimodal Affect Recognition [Bulk, Wholesale, Quantity] ISBN#9783658286736 in Paperback by Markus Kächele may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer Fachmedien Wiesbaden
- Author
- Markus Kächele
- Format
- Paperback
- Published
- Dec 3, 2019
- ISBN-13
- 9783658286736
- Pages
- 188
- Printing
- Printed on demand
Machine Learning Systems for Multimodal Affect Recognition in bulk: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $61.59 | 12% off list |
| 50 – 99 | $60.89 | 13% off list |
| 100+ | $60.19 | 14% off list |
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Machine Learning Systems for Multimodal Affect Recognition
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