Data refinement is a common approach to reasoning about programs, based on establishing that te program indeed satisfies all the required properties imposed by an intended abstract...
Ivana Filipovic, Peter W. O'Hearn, Noah Torp-Smith...
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Developing parallel applications is notoriously difficult, but is even more complex for desktop applications. The added difficulties are primarily because of their interactive nat...
This paper studies the problem of discovering and comparing geographical topics from GPS-associated documents. GPSassociated documents become popular with the pervasiveness of loc...
With the prevalence of car navigation systems, indoor navigation systems are increasingly attracting attention in the indoor research area. However, the available models for indoo...