We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
This paper presents a methodology for the statistical analysis of clock tree structures. It allows to accurately predict and analyze the impact of process variation on clock skew....
Enrico Malavasi, Stefano Zanella, Min Cao, Julian ...
We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natur...
The symbol error probability (SEP) performance of time-hopping (TH) ultra-wideband (UWB) systems in the presence of multiuser interference (MUI) and timing jitter is considered wit...
N. V. Kokkalis, P. Takis Mathiopoulos, George K. K...
Many industrial real-time systems have evolved over a long period of time and were initially so simple that it was possible to predict consequences of adding new functionality by ...
Anders Wall, Johan Andersson, Christer Norströ...