This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Ch...
Analytical modeling is applied to the automated design of application-specific superscalar processors. Using an analytical method bridges the gap between the size of the design sp...
— The performance of two Bluetooth piconets linked through a bridge device is analyzed using the tools of queueing theory. We analyze both the Master/Slave (MS) and Slave/Slave (...
Recent research on performance analysis for embedded systems shows a trend to formal compositional models and methods. These compositional methods can be used to determine the per...
We revisit the problem of memory checking considered by Blum et al. [3]. In this model, a checker monitors the behavior of a data structure residing in unreliable memory given an a...