We present an Auditory Information Seeking Principle (AISP) (gist, navigate, filter, and details-on-demand) modeled after the visual information seeking mantra [1]. We propose tha...
Haixia Zhao, Catherine Plaisant, Ben Shneiderman, ...
We propose a framework for policy generation in continuoustime stochastic domains with concurrent actions and events of uncertain duration. We make no assumptions regarding the co...
Bayesian belief propagation in graphical models has been recently shown to have very close ties to inference methods based in statistical physics. After Yedidia et al. demonstrate...
We study the problem of maintaining a sketch of recent elements of a data stream. Motivated by applications involving network data, we consider streams that are asynchronous, in wh...
We studied the possibility of using wireless sensor networks for vehicle identification in a large open field. This is exciting research in that it not only presents a challenge bu...