Abstract—Enterprise Applications are complex software systems that manipulate much persistent data and interact with the user through a vast and complex user interface. In partic...
Abstract—We describe a novel application of using data mining and statistical learning methods to automatically monitor and detect abnormal execution traces from console logs in ...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...
Abstract— This paper addresses the problem of featurebased robot localization in large-size environments. With recent progress in SLAM techniques, it has become crucial for a rob...
Abstract— LDP (Locally Distributed Predicates) is a distributed, high-level language for programming modular reconfigurable robot systems (MRRs). In this paper we present the im...
Michael DeRosa, Seth Copen Goldstein, Peter Lee, P...
Abstract— Previous work [1] shows that the movement representation in task spaces offers many advantages for learning object-related and goal-directed movement tasks through imit...