Machine Learning For Multimodal Interaction

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Machine Learning for Multimodal Interaction

Machine Learning for Multimodal Interaction
Author :
Publisher : Springer
Total Pages : 375
Release :
ISBN-10 : 9783540858539
ISBN-13 : 3540858539
Rating : 4/5 (539 Downloads)

Book Synopsis Machine Learning for Multimodal Interaction by : Andrei Popescu-Belis

Download or read book Machine Learning for Multimodal Interaction written by Andrei Popescu-Belis and published by Springer. This book was released on 2008-09-20 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2008, held in Utrecht, The Netherlands, in September 2008. The 12 revised full papers and 15 revised poster papers presented together with 5 papers of a special session on user requirements and evaluation of multimodal meeting browsers/assistants were carefully reviewed and selected from 47 submissions. The papers cover a wide range of topics related to human-human communication modeling and processing, as well as to human-computer interaction, using several communication modalities. Special focus is given to the analysis of non-verbal communication cues and social signal processing, the analysis of communicative content, audio-visual scene analysis, speech processing, interactive systems and applications.


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