Machine Learning Systems for Multimodal Affect Recognition. 2020 ed., Paperback

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