We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
We present an audiovisual creativity tool that automatically recognizes facial expressions in real time, producing sounds in combination with images. The facial expression recognit...
— We study Bayesian detection based cognitive sensing and analyze its impact on the capacity in various cases of location information. In a network of one primary and one cogniti...
This work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus a...
—Game theory has been a useful tool for the analysis of random-access based wireless networks due to their decentralized operations. This paper studies one of the most widely use...