We propose a novel algorithm of counting indistinguishable objects by a collection of sensors. The information on multiple counting is recovered from the stochastic correlation pat...
Yuliy M. Baryshnikov, Edward G. Coffman Jr., Kyung...
we present a cognitively inspired mathematical learning framework called Neural Modeling Fields (NMF). We apply it to learning and recognition of situations composed of objects. NM...
Data replication is a key issue in a Data Grid and can be managed in different ways and at different levels of granularity: for example, at the file level or object level. In the ...
Abstract-- It is expected from a Future Internet that a multitude of networks will coexist and complement each other. Such environment allows to run specialized networks possibly p...
Algorithms for route planning in transportation networks have recently undergone a rapid development, leading to methods that are up to one million times faster than Dijkstra’s a...