Feature interaction detection in the context of systems that are highly integrated into their environment, such as embedded or software-intensive systems, is different from classi...
We introduce a new probability distribution over a potentially infinite number of binary Markov chains which we call the Markov Indian buffet process. This process extends the IBP...
Interactive storytelling is a rapidly emerging field that tries to reconcile story-like experiences with user control. These forces oppose each other, as story implies predetermin...
This paper presents a stochastic iteration algorithm solving the global illumination problem, where the random sampling is governed by classical importance sampling and also by th...
The concept of Statistical Resolution Limit (SRL), which is defined as the minimal separation to resolve two closely spaced signals, is an important tool to quantify performance ...