Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Abstract--Multi-core processors with accelerators are becoming commodity components for high-performance computing at scale. While accelerator-based processors have been studied in...
M. Mustafa Rafique, Ali Raza Butt, Dimitrios S. Ni...
Robust semantic labeling of image regions is a basic problem in representing and retrieving image/video content. We propose an SVM-MRF framework to model features and their spatia...
In distributed combinatorial optimization problems, dynamic programming algorithms like DPOP ([Petcu and Faltings, 2005]) require only a linear number of messages, thus generating...
The availability of inexpensive “off the shelf” machines increases the likelihood that parallel programs run on heterogeneous clusters of machines. These programs are increasi...