Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Abstract: Quality issues and their connection with structural aspects of process models have been recently studied, but there is still a notable lack of research into quality aspec...
The goal of this short form paper is to introduce ideas in contemporary visualization that use hand generated methods to engage the imagination of the author and audience to enhan...
Artifacts—representations that express properties or captured information—can serve to inspire, represent, and manage the decisions made throughout the design process. This wo...
D. Scott McCrickard, Michael E. Atwood, Gayle Curt...
We explore the opportunity to harness electroencephalograph (EEG) signals generated during human visual processing to enhance computer vision systems. We review the challenging ta...
Ashish Kapoor, Desney S. Tan, Pradeep Shenoy, Eric...