Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Effective scheduling in large-scale computational grids is challenging because it requires tracking the dynamic state of the large number of distributed resources that comprise th...
Deger Cenk Erdil, Michael J. Lewis, Nael B. Abu-Gh...
The vision-based driver fatigue detection is one of the most prospective commercial applications of facial expression recognition technology. The facial feature tracking is the pr...
Physical design environments are places that support people engaged in the spatial, physical, tangible act of creation. It is now possible to augment workspaces with an amazing ar...
Wendy Ju, Margot Brereton, Michael Haller, Amanda ...
We present a new algorithm for best-effort simplification of polygonal meshes based on principles of visual perception. Building on previous work, we use a simple model of low-lev...
Nathaniel Williams, David P. Luebke, Jonathan D. C...