Bayesian networks are indispensable for determining the probability of events which are influenced by various components. Bayesian probabilities encode degrees of belief about ce...
Abstract. One of the fundamental and seemingly simple aims of mathematical knowledge management (MKM) is to develop and standardize formats that allow to “represent the meaning o...
Mobile sensors can move and self-deploy into a network. While focusing on the problems of coverage, existing deployment schemes mostly over-simplify the conditions for network con...
Guang Tan, Stephen A. Jarvis, Anne-Marie Kermarrec
A group of identical mobile agents moving asynchronously among the nodes of an anonymous network have to gather together in a single node of the graph. This problem known as the (a...
We present a novel framework to exert topology control over a level set evolution. Level set methods offer several advantages over parametric active contours, in particular automat...