For many probability distributions of interest, it is quite difficult to obtain samples efficiently. Often, Markov chains are employed to obtain approximately random samples fro...
Approximating detailed models with coarse, texture-mapped meshes results in polygonal silhouettes. To eliminate this artifact, we introduce silhouette clipping, a framework for ef...
Pedro V. Sander, Xianfeng Gu, Steven J. Gortler, H...
In this paper we analyze the performance of a TCP-like flow control in a lossy environment. The transmission rate in the control scheme that we consider has a linear growth rate;...
Eitan Altman, Konstantin Avrachenkov, Chadi Baraka...
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
This paper presents a new method for interactive rendering of globally illuminated static scenes. Global illumination is decomposed into view-independent (diffuse) and view-depend...
Rui Bastos, Kenneth E. Hoff III, William C. Wynn, ...