A method for recognizing signal lights in traffic scenes in real time has been developed. It consists of a set of different feature extraction operations acting as sequential filt...
We present efficient algorithms for computing very sparse low distortion spanners in distributed networks and prove some non-trivial lower bounds on the tradeoff between time, spar...
In linear image restoration, the point spread function of the degrading system is assumed known even though this information is usually not available in real applications. As a re...
This paper presents a pattern classification system in which feature extraction and classifier learning are simultaneously carried out not only online but also in one pass where tr...
— Measuring network flow sizes is important for tasks like accounting/billing, network forensics and security. Per-flow accounting is considered hard because it requires that m...