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Machine Learning Systems for Multimodal Affect Recognition Markus Kachele 2020 edition
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Machine Learning Systems for Multimodal Affect Recognition
Markus Kachele
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.
188 pages, 1 Illustrations, black and white; XIX, 188 p. 1 illus.
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 3. desember 2019 |
| ISBN13 | 9783658286736 |
| Utgivere | Springer Fachmedien Wiesbaden |
| Antall sider | 188 |
| Mål | 210 × 147 × 14 mm · 274 g |
| Språk | Tysk |