We propose a Dynamic Bayesian Network (DBN) model for upper body tracking. We first construct a Bayesian Network (BN) to represent the human upper body structure and then incorpo...
We present a tunable diagnostic protocol for generic time-triggered (TT) systems to detect crash and send/receive omission faults. Compared to existing diagnostic and membership p...
Marco Serafini, Neeraj Suri, Jonny Vinter, Astrit ...
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
This paper describes an experimental study of Linux kernel behavior in the presence of errors that impact the instruction stream of the kernel code. Extensive error injection exper...
Weining Gu, Zbigniew Kalbarczyk, Ravishankar K. Iy...
Abstract. Existing middleware is based on control-flow centric interaction models such as remote method invocations, poorly matching the structure of applications that process con...
Rainer Koster, Andrew P. Black, Jie Huang, Jonatha...