Algorithms that detect silhouettes, creases, and other edge based features often perform per-edge and per-face mesh computations using global adjacency information. These are unsu...
This paper studies a framework for matching an unknown
number of corresponding structures in two images
(shapes), motivated by detecting objects in cluttered background
and lear...
The majority of the world’s computing resources remains idle most of the time. By using this resource pool, an individual computation may be completed in a fraction of time requ...
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
This paper proposes a hybrid architecture for distributed virtual environments, utilizing servers alongside peer-to-peer components. Current research into peer-based systems seeks...