Machine Learning Systems for Multimodal Affect Recognition

Markus Kachele 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.

• | : Markus Kachele
• | Publisher: Springer Fachmedien Wiesbaden
• | Publication Date: Dec 03, 2019
• | Country of Publication: Germany
• | Number of Pages: 188 pages
• | Language: Unknown
• | Binding: Paperback / softback
• | ISBN-10: 3658286733
• | ISBN-13: 9783658286736