Abstract— With the increasing popularity of parallel programming environments such as PC clusters, more and more sequential programmers, with little knowledge about parallel arch...
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Over the last decade numerous Active Queue Management (AQM) schemes have been proposed in the literature. Many of these studies have been directed towards improving congestion con...
Humans can verify unknown parent-offspring and sibling pairs over unrelated subject pairs. A computational scheme to accomplish the task robustly, in the presence of challenges due...
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...