We report on a case study on control-flow analysis of business process models. We checked 735 industrial business process models from financial services, telecommunications, and...
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...
We present fast 3D surface registration methods for inhand modeling. This allows users to scan complete objects swiftly by simply turning them around in front of the scanner. The ...
We investigate pointing at graphical targets of arbitrary shapes. We first describe a previously proposed probabilistic Fitts' law model [7] which, unlike previous models tha...
There is an increasing need for obtaining a reasonably accurate estimate of energy dissipation in SoC designs. Array structures have a significant contribution to the total system...