Speculative parallelisation represents a promising solution to speed up sequential programs that are hard to parallelise otherwise. Prior research has focused mainly on parallelisi...
Lin Gao 0002, Lian Li 0002, Jingling Xue, Tin-Fook...
In this paper, we propose a conceptual framework for developing a family of models for Group-Centric information sharing. The traditional approach to information sharing, characte...
Ram Krishnan, Ravi S. Sandhu, Jianwei Niu, William...
We present a tool for qualitative data discovery that aids researchers in analyzing synchronized log data with audio collected from multiple computers. The tool was originally dev...
William A. Hamilton, Zachary O. Toups, Andruid Ker...
Distributed scheduling algorithms for wireless ad hoc networks have received substantial attention over the last decade. The complexity levels of these algorithms span a wide spec...
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...