We have developed a flexible tool for efficient parallel adaptive mesh refinement on a sphere. Adaptive mesh refinement allows one to concentrate computational resources on region...
Large margin classifiers have demonstrated their advantages in many visual learning tasks, and have attracted much attention in vision and image processing communities. In this pa...
The de novo assembly of genomes from high-throughput short reads is an active area of research. Several promising methods have been recently developed, with applicability mainly re...
Benjamin G. Jackson, Patrick S. Schnable, Srinivas...
This paper proposes a generic framework for monitoring continuous spatial queries over moving objects. The framework distinguishes itself from existing work by being the first to ...
Interferences in an ad-hoc network can be defined as a set of constraints that specify which groups of nodes cannot transmit simultaneously, and they have significant implications...