Visual information overload is a threat to the interpretation of displays presenting large data sets or complex application environments. To combat this problem, researchers have ...
Anthony Tang, Peter McLachlan, Karen Lowe, Chalapa...
One of the primary issues with traditional anomaly detection approaches is their inability to handle complex, structural data. One approach to this issue involves the detection of...
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
Abstract. We describe a virtual telemetry system that allows us to devise and augment dynamic data-driven application simulations (DDDAS). Virtual telemetry has the advantage that ...
Craig C. Douglas, Yalchin Efendiev, Richard E. Ewi...
This paper presents probabilistic modeling methods to solve the problem of discriminating between five facial orientations with very little labeled data. Three models are explored...