Machine Learning Systems for Multimodal Affect Recognition. 2020 ed., Paperback/Markus Kachele
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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. Publisher: Springer Fachmedien Wiesbaden Author(s): Markus Kachele Illustration(s): 1 Illustrations, black and white; XIX, 188 p. 1 illus. Number of pages: 188 Publication date: 2019 Dimensions: 147 x 210 x 14 Cover type: Paperback / softback
- Brand
- Springer Fachmedien Wiesbaden
- subcategory
- Carte straina/Computing & information technology
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