Decision-support requires the gathering and presentation of information, but is subject to many kinds of resource restrictions (e.g. cost, length, time). Individual users differ n...
The use of sub-optimal digital systems can at times lead to high speed, efficient, costeffective structures that are sufficient to perform needed tasks. We describe here a system ...
Obtaining performance models, like Markov chains and queueing networks, for systems of significant complexity and magnitude is a difficult task that is usually tackled using human...
Reference models are an important aid for business process modeling and design. Their aim is to capture domain knowledge and assist in the design of enterprise specific business pr...
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...