Systems designed to extract time-critical information from large volumes of unstructured data must include the ability, both from an architectural and algorithmic point of view, t...
Upendra V. Chaudhari, Olivier Verscheure, Juan Hue...
Recently, application-level isolation was introduced as an effective means of containing the damage that a suspicious user could inflict on data. In most cases, only a subset of t...
Amgad Fayad, Sushil Jajodia, Catherine D. McCollum
Process monitoring refers to the task of detecting abnormal process operations resulting from the shift in the mean and/or the variance of one or more process variables. To success...
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...