Symmetry is an important cue for machine perception that involves high-level knowledge of image components. Unlike most of the previous research that only computes symmetry in an ...
In this paper, we propose the application of standard decomposition approaches to find local correlations in multimodal data. In a test scenario, we apply these methods to correla...
Daniel Dornbusch, Robert Haschke, Stefan Menzel, H...
Semantic inference is an important component in many natural language understanding applications. Classical approaches to semantic inference rely on complex logical representation...
Roy Bar-Haim, Ido Dagan, Iddo Greental, Eyal Shnar...
We present integration mechanisms for combining heterogeneous components in a situated information processing system, illustrated by a cognitive robot able to collaborate with a h...
Nick Hawes, Aaron Sloman, Jeremy Wyatt, Michael Zi...
This study proposes a nurse allocation policy to manage patient overflow during a pandemic influenza outbreak. The objective is to minimize the number of patients waiting in queue...