Adaptive resource management is critical to ensuring the quality of real-time distributed applications, particularly for energy-constrained mobile handheld devices. In this contex...
Minyoung Kim, Mark-Oliver Stehr, Carolyn L. Talcot...
We present a method for unsupervised learning of event classes from videos in which multiple actions might occur simultaneously. It is assumed that all such activities are produce...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...
When applying model checking to the design models of the embedded systems, it is necessary to model not only the behavior of the target system but also that of the environment inte...
—This paper considers the task of software test case generation from a large space of values of input parameters. The purpose of the paper is to create a model of software input ...
Sergiy A. Vilkomir, W. Thomas Swain, Jesse H. Poor...
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...