Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
A Distributed Clustering Algorithm DCA and a Distributed Mobility-Adaptive Clustering DMAC algorithm are presented that partition the nodes of a fully mobile network ad hoc networ...
Recent advances in data and knowledge engineering have emphasized the need for formal concept analysis (FCA) tools taking into account structured data. There are a few adaptations ...
When designing a complex system, Object-Z is a powerful logic-based language for modeling the system state aspects, and Timed Automata is an excellent graph-based notation for cap...
The behavior and performance of MPI non-blocking message passing operations are sensitive to implementation specifics as they are heavily dependant on available system level buff...