Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
Current GPUs rasterize micropolygons (polygons approximately one pixel in size) inefficiently. We design and analyze the costs of three alternative data-parallel algorithms for ra...
Kayvon Fatahalian, Edward Luong, Solomon Boulos, K...
We study, from the competitive analysis perspective, the trade off between communication cost and delay cost (or simply the sendor-wait dilemma) on a hierarchy (rooted tree). The p...
The predictive hierarchical level of detail optimization algorithm of Mason and Blake is experimentally evaluated in the form of a practical application to hierarchical radiosity....
Shaun Nirenstein, Edwin H. Blake, Simon Winberg, A...
We present a resource management algorithm based upon guided “walks” within a system state space. Walks are guided via simple predictions of optimum behavior whose accuracy inc...