Map-reduce framework has received a significant attention and is being used for programming both large-scale clusters and multi-core systems. While the high productivity aspect of ...
Distributing data is a fundamental problem in implementing efficient distributed-memory parallel programs. The problem becomes more difficult in environments where the participati...
D. Brent Weatherly, David K. Lowenthal, Mario Naka...
We introduce an algorithm that learns gradients from samples in the supervised learning framework. An error analysis is given for the convergence of the gradient estimated by the ...
Marker tracking has revolutionized Augmented Reality about a decade ago. However, this revolution came at the expense of visual clutter. In this paper, we propose several new mark...
Daniel Wagner, Tobias Langlotz, Dieter Schmalstieg
We propose a method for reducing the number of clocks of a timed automaton by combining two algorithms. The first one consists in detecting active clocks, that is, those clocks wh...