—This paper presents a novel approach for automatic recognition of human activities from video sequences. We first group features with high correlations into Category Feature Vec...
This paper describes the application of a suite of innovative information processing and analytic support tools developed at The MITRE Corporation, in some cases as extensions of ...
Given sensors to detect object use, commonsense priors of object usage in activities can reduce the need for labeled data in learning activity models. It is often useful, however,...
Shiaokai Wang, William Pentney, Ana-Maria Popescu,...
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
We are interested in replacing human processing of web resources by automated processing. Based on an experimental system we identify uncertainty issues which make this process dif...