This paper focuses on non-strict processing, optimization, and partial evaluation of MPI programs which use incremental data structures (ISs). We describe the design and implement...
We describe the architecture of a federated system designed to allow the integration of structured, relational, data together with unstructured multimedia data. Two characteristic...
Alan Cole, Jim Christensen, Howard Sachar, Oleg Du...
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
Executive information systems (EIS) that are capable of accessing multiple data sources (both online and offline) for ondemand, ad hoc analysis are needed to support the changing ...
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...