Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
Emerging configurable infrastructures (large-scale overlays, grids, distributed testbeds, and sensor networks among others) comprise diverse sets of computing resources and netwo...
Most prior theoretical research on partitioning algorithms for real-time multiprocessor platforms has focused on ensuring that the cumulative computing requirements of the tasks a...
Nathan Fisher, James H. Anderson, Sanjoy K. Baruah
Combinatorial games lead to several interesting, clean problems in algorithms and complexity theory, many of which remain open. The purpose of this paper is to provide an overview...
Symmetry in constraint problems can be exploited to greatly improve search performance. A form of symmetry that has been the subject of considerable research is value interchangeab...