Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
To recognize and understand a person’s emotion has been known as one of the most important issue in human-computer interaction. In this paper, we present a multimodal system tha...
A procedure is described for synthesizing an image with the same texture as a given input image. To achieve this, the output image is built up by successively adding pixels select...
Most probabilistic classi ers used for word-sense disambiguationhave either been based on onlyone contextual feature or have used a model that is simply assumed to characterize th...
Personalisation and context-awareness are fundamental concerns in Telephony. This paper introduces a rule-based system - 4CRULES - which enables context-sensitive call control by t...
David Lesaint, Deepak Mehta, Barry O'Sullivan, Lui...