We present a post-processing technique that selectively reduces the salience of distracting regions in an image. Computational models of attention predict that texture variation i...
Data-intensive applications in the Condor High Throughput Computing environment can place heavy demands on network resources for checkpointing and remote data access. We have deve...
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
—Applying nonequilibrium statistical mechanics we focus on nonequilibrium corrections Δs to entropy and energy of the fluid in terms of the nonequilibrium density distribution f...
Agents in virtual environments require a combination of perception and action to behave in an autonomous way. We extend a software architecture for the management of actions blend...