We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
In this position paper we propose an evaluation framework for networked mobile gaming, consisting of user, group, communication, and environment models. Each of these components a...
Abstract. Accurately modeling and predicting performance for largescale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive mo...
Engin Ipek, Bronis R. de Supinski, Martin Schulz, ...
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Abstract In the event that a system does not satisfy a specification, a model checker will typically automatically produce a counterexample trace that shows a particular instance ...