Abstract. Sensing is at the core of virtually every DDDAS application. Sensing applications typically involve distributed communication and coordination over large self-organized n...
Asad Awan, Ahmed H. Sameh, Suresh Jagannathan, Ana...
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Quadratic optimization lies at the very heart of many structural pattern recognition and computer vision problems, such as graph matching, object recognition, image segmentation, ...
Abstract. Limited bandwidth to off-chip main memory is a performance bottleneck in chip multiprocessors for streaming computations, such as Cell/B.E., and this will become even mor...