Machine Learning Systems for Multimodal Affect Recognition is popular PDF and ePub book, written by Markus Kächele in 2019-11-19, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning Systems for Multimodal Affect Recognition can be Read Online from any device for your convenience.
Machine Learning Systems for Multimodal Affect Recognition Book PDF Summary
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. He focuses on multimodal recognition of discrete and continuous emotional and medical states. As such, specifically the peculiarities that arise during annotation and processing of continuous signals are highlighted. Furthermore, methods are presented that allow personalization of datasets and adaptation of classifiers to new situations and persons.
Detail Book of Machine Learning Systems for Multimodal Affect Recognition PDF
- Author : Markus Kächele
- Release : 19 November 2019
- Publisher : Springer Nature
- ISBN : 9783658286743
- Genre : Computers
- Total Page : 188 pages
- Language : English
- PDF File Size : 21,8 Mb
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