We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
We demonstrate a novel simulation technique for analysing large stochastic process algebra models, applying this to a secure electronic voting system example. By approximating the...
This paper analyzes the contribution of semantic roles to TimeML event recognition and classification. For that purpose, an approach using conditional random fields with a variety...
COMDES-II is a component-based software framework intended for Model Integrated Computing (MIC) of embedded control systems with hard real-time constraints. We present a transforma...
Xu Ke, Paul Pettersson, Krzysztof Sierszecki, Chri...
"Software engineering" was introduced as a model for the field of software development in 1968. This paper reconsiders that model in the light of four decades of experie...