The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper,...
Complexity in concurrent or distributed systems can be managed by dividing component into smaller components. However, such transformations change the coordination behaviour betwe...
Gudmund Grov, Robert F. Pointon, Greg Michaelson, ...
We consider topic detection without any prior knowledge of category structure or possible categories. Keywords are extracted and clustered based on different similarity measures u...
This paper assesses the usefulness of surface features in a multimedia retrieval setting. Surface features describe the metadata or structure of a document rather than the content....
Thijs Westerveld, Arjen P. de Vries, Georgina Ram&...
Locally and functionally distributed applications realized on different system architectures demand a universal, portable and intuitive software utility for interprocess communica...