Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
A decomposition approach to multiclass classification problems consists in decomposing a multiclass problem into a set of binary ones. Decomposition splits the complete multiclass ...
Boolean Satisfiability is a ubiquitous modeling tool in Electronic Design Automation, It finds application in test pattern generation, delay-fault testing, combinational equivalen...
— In this paper, we present a distributed algorithm for detecting redundancies in a sensor network with no location information. We demonstrate how, in the absence of localizatio...
The problem of generating maps with mobile robots has received considerable attention over the past years. Most of the techniques developed so far have been designed for situation...