Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: First IAPR TC3 Workshop, MPRSS 2012, Tsukuba, Japan, November 11, . Papers (Lecture Notes in Computer Science)
Language: English
Published by Springer 2013-02-10, 2013
- Softcover
- New

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- Title
- Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: First IAPR TC3 Workshop, MPRSS 2012, Tsukuba, Japan, November 11, . Papers (Lecture Notes in Computer Science)
- Author
- Friedhelm Schwenker, Stefan Scherer, Louis-Philippe Morency
- Publisher
- Springer 2013-02-10
- Publication year
- 2013
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 3642370802
- ISBN 13
- 9783642370809
This book constitutes the thoroughly refereed post-workshop proceedings of the First IAPR TC3 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction (MPRSS2012), held in Tsukuba, Japan in November 2012, in collaboration with the NLGD Festival of Games. The 21 revised papers presented during the workshop cover topics on facial expression recognition, audiovisual emotion recognition, multimodal Information fusion architectures, learning from unlabeled and partially labeled data, learning of time series, companion technologies and robotics.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book constitutes the thoroughly refereed post-workshop proceedings of the First IAPR TC3 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction (MPRSS2012), held in Tsukuba, Japan in November 2012, in collaboration with the NLGD Festival of Games.
The 21 revised papers presented during the workshop cover topics on facial expression recognition, audiovisual emotion recognition, multimodal Information fusion architectures, learning from unlabeled and partially labeled data, learning of time series, companion technologies and robotics.
The 21 revised papers presented during the workshop cover topics on facial expression recognition, audiovisual emotion recognition, multimodal Information fusion architectures, learning from unlabeled and partially labeled data, learning of time series, companion technologies and robotics.
"About the title" may belong to another edition of this title.
Chiron Media
Wallingford, United Kingdom
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