In this paper we analyze the problem of estimating a function from different noisy data sets collected by spatially distributed sensors and subject to unknown temporal shifts. We p...
We propose a novel approach to understanding
activities from their partial observations monitored through
multiple non-overlapping cameras separated by unknown time
gaps. In our...
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
When time is incorporated in the specification of discrete systems, the complexity of verification grows exponentially. When the temporal behavior is specified with symbols, the ve...
Wires shrink less efficiently than transistors. Smaller dimensions increase relative delay and the probability of crosstalk. Solutions to this problem include adding additional lat...