As the number of transistors integrated on a chip continues to increase, a growing challenge is accurately modeling performance in the early stages of processor design. Analytical...
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...
Abstract. Flexible Manufacturing Systems (FMSs) are adopted to process different goods in different mix ratios allowing firms to react quickly and efficiently to changes in produ...
Viewpoint independent recognition of free-form objects and their segmentation in the presence of clutter and occlusions is a challenging task. We present a novel 3D model-based alg...
Abstract. In this paper we introduce the concept of statistical deformation models (SDM) which allow the construction of average models of the anatomy and their variability. SDMs a...
Daniel Rueckert, Alejandro F. Frangi, Julia A. Sch...