Although gesture recognition has been studied extensively, communicative, affective, and biometrical “utility” of natural gesticulation remains relatively unexplored. One of t...
In this paper, we adopt a direct modeling approach to utilize conversational gesture cues in detecting sentence boundaries, called SUs, in video taped conversations. We treat the ...
For flexible interactions between a robot and humans, we address the issue of automatic recognition of human emotions during the interaction such as embarrassment, pleasure, and af...
One problem seriously affecting CLIR performance is the processing of queries with embedded foreign names. A proper noun dictionary is never complete rendering name translation fr...
Abstract. This paper introduces Deft, a new multitask learning approach for rule learning algorithms. Like other multitask learning systems, the one proposed here is able to improv...