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 ...
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...
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,...
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...
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...