This paper addresses the issue of reducing the storage requirements on Instance-Based Learning algorithms. Algorithms proposed by other researches use heuristics to prune instance...
Strong consistency is an important correctness property for replicated databases. It ensures that each transaction accesses the latest committed database state as provided in centr...
Abstract. This paper introduces Crankshaft, a MAC protocol specifically targeted at dense wireless sensor networks. Crankshaft employs node synchronisation and offset wake-up sched...
Many computer vision problems rely on computing histogram-based objective functions with a sliding window. A main limiting factor is the high computational cost. Existing computat...
We develop energy-efficient, adaptive distributed transforms for data gathering in wireless sensor networks. In particular, we consider a class of unidirectional transforms that ...