Machine Learning Systems For Multimodal Affect Recognition - Markus Kchele

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Machine Learning Systems For Multimodal Affect Recognition - Markus Kchele

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Machine Learning Systems For Multimodal Affect Recognition - Markus Kchele

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Description

Machine Learning Systems For Multimodal Affect Recognition - Markus Kchele

Markus Kchele 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.
  • Brand: Unbranded
  • Category: Computing & Internet
  • Format: Paperback
  • Language: English
  • Publication Date: 2019-12-03
  • Publisher / Label: Springer Nature B.V
  • Author: Markus Kchele
  • Number of Pages: 210
  • Fruugo ID: 435248059-912900001
  • ISBN: 9783658286736

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  • STANDARD: BHD10.490 - Delivery between Thu 03 September 2026–Wed 09 September 2026

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