We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
Pedro Canotilho Ribeiro, Plinio Moreno, José...
Abstract. As parallelism in microprocessors becomes mainstream, new programming languages and environments are emerging to meet the challenges of parallel programming. To support r...
Todd Anderson, Neal Glew, Peng Guo, Brian T. Lewis...
Abstract. The success of Internet telephony services like Skype illustrates the feasibility of utilizing unstructured Peer-to-Peer (P2P) networks as an economical platform for supp...
In ad-hoc Grids where the availability of resources and tasks changes over the time, distributing the tasks among the scarce resources in a balanced way is a challenging task. In ...
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...