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Machine learning systems for multimodal affect recognition
| Autor principal: | |
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| Lenguaje: | eng |
| Publicado: |
Springer Fachmedien Wiesbaden GmbH
2019
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2756587 |
| _version_ | 1780969783048536064 |
|---|---|
| author | Kächele, Markus |
| author_facet | Kächele, Markus |
| author_sort | Kächele, Markus |
| collection | CERN |
| id | cern-2756587 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2019 |
| publisher | Springer Fachmedien Wiesbaden GmbH |
| record_format | invenio |
| spelling | cern-27565872021-04-21T16:41:52Zhttp://cds.cern.ch/record/2756587engKächele, MarkusMachine learning systems for multimodal affect recognitionXXSpringer Fachmedien Wiesbaden GmbHoai:cds.cern.ch:27565872019 |
| spellingShingle | XX Kächele, Markus Machine learning systems for multimodal affect recognition |
| title | Machine learning systems for multimodal affect recognition |
| title_full | Machine learning systems for multimodal affect recognition |
| title_fullStr | Machine learning systems for multimodal affect recognition |
| title_full_unstemmed | Machine learning systems for multimodal affect recognition |
| title_short | Machine learning systems for multimodal affect recognition |
| title_sort | machine learning systems for multimodal affect recognition |
| topic | XX |
| url | http://cds.cern.ch/record/2756587 |
| work_keys_str_mv | AT kachelemarkus machinelearningsystemsformultimodalaffectrecognition |