Experience sampling has been employed for decades to collect assessments of subjects' intentions, needs, and affective states. In recent years, investigators have employed au...
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
In the context of information retrieval, traditional collection selection algorithms have been widely studied. These algorithms utilize language models, a representation of the co...
Gary A. Monroe, James C. French, Allison L. Powell
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
We study the problem of visualizing large networks and develop es for effectively abstracting a network and reducing the size to a level that can be clearly viewed. Our size reduc...