Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
We propose a novel approach to improve the distinctiveness of local image features without significantly affecting their robustness with respect to image deformations. Local image...
We investigate the prevalence and learning impact of different types of off-task behavior in classrooms where students are using intelligent tutoring software. We find that within...
Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Ko...
This demonstration reports results from the EU-funded project Ambient Agoras, investigating future applications of ubiquitous and ambient computing in workspaces. Instead of prese...
Storage mapping optimization is a flexible approach to folding array dimensions in numerical codes. It is designed to reduce the memory footprint after a wide spectrum of loop tr...