The broadcast nature of wireless networks is the source of both their utility and much of their complexity. To turn what would otherwise be unwanted interference into an advantage...
Mikhail Afanasyev, David G. Andersen, Alex C. Snoe...
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
Motion is the strongest visual appeal to attention [2], yet it is rarely used in the visualization of large-scale quantitative information. Motion is complex; it can vary across n...
Avatars that show intelligent behavior should have an access to general knowledge about the world, knowledge that humans store in their semantic memories. The simplest knowledge r...
Julian Szymanski, Tomasz Sarnatowicz, Wlodzislaw D...
We have recently presented CarpeDiem, an algorithm that can be used for speeding up the evaluation of Supervised Sequential Learning (SSL) classifiers. CarpeDiem provides impress...