Rather than the difficulties of highly non-linear and non-Gaussian observation process and the state distribution in single target tracking, the presence of a large, varying number...
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Parallel execution of simulation runs has become indispensable in different research areas recently. One of the most promising and powerful models in science are cellular automata ...
In this work we focus on a new technique for making cloning of parallel simulations more efficient. Cloning provides a means for running multiple similar simulations in parallel ...
Time synchronization is necessary in many distributed systems, but achieving synchronization in sensornets, which combine stringent precision requirements with severe resource con...
Jeremy Elson, Richard M. Karp, Christos H. Papadim...