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MM
2005
ACM
134views Multimedia» more  MM 2005»
14 years 2 months ago
Graph based multi-modality learning
To better understand the content of multimedia, a lot of research efforts have been made on how to learn from multi-modal feature. In this paper, it is studied from a graph point ...
Hanghang Tong, Jingrui He, Mingjing Li, Changshui ...
ICMI
2004
Springer
263views Biometrics» more  ICMI 2004»
14 years 2 months ago
Analysis of emotion recognition using facial expressions, speech and multimodal information
The interaction between human beings and computers will be more natural if computers are able to perceive and respond to human non-verbal communication such as emotions. Although ...
Carlos Busso, Zhigang Deng, Serdar Yildirim, Murta...
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
14 years 2 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
IAT
2003
IEEE
14 years 2 months ago
On Need-driven Proactive Information Exchanges in Agent Teams
Members of high-performing human teams can often anticipate information needs of teammates and offer relevant information to them proactively. Such capabilities are highly desirab...
John Yen, Xiaocong Fan, Richard A. Volz
GRC
2005
IEEE
14 years 2 months ago
Improved rule based rough set approach for target recognition
An incremental target recognition algorithm based on improved discernibility matrix in rough set theory is presented. We compare the new approach with our previous nonincremental a...
Yong Liu, Congfu Xu, Zhiyong Yan, Yunhe Pan