Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
Abstract— This paper considers the problem of learning to recognize different terrains from color imagery in a fully automatic fashion, using the robot’s mechanical sensors as ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
Financial efficiency is the premier performance measure for most systems. Existing economic ecosystems for distribution of multimedia leave a lot to be desired: client-server plat...
— In this paper, we present a high-level power model to estimate the power consumption in semi-global and global interconnects. Such interconnects are used for communications bet...
The problem of interactive foreground/background segmentation in still images is of great practical importance in image editing. The state of the art in interactive segmentation is...
Andrew Blake, Carsten Rother, M. Brown, Patrick P&...