We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
In ubiquitous computing environment, people carrying their mobile devices (eg., mobile phone, PDA, embedded devices) expect to access locally hosted services or resources anytime, ...
Virtual agents designed to establish relationships with more than one user must be able to identify and distinguish among those users with high reliability. We descr...
Daniel Schulman, Mayur Sharma, Timothy W. Bickmore
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...
In this paper, from the viewpoint of scene understanding, a 3-layer Bayesian hierarchical framework (BHF) is proposed for robust vacant parking space detection. In practice, the ch...