Principal component analysis has proven to be useful for understanding geometric variability in populations of parameterized objects. The statistical framework is well understood ...
This contribution presents a deployment exercise of multiagent technology in the domain of deconflicted air-traffic control among several autonomous aerial vehicles (manned as wel...
Telecommunication companies are struggling to provide their users with value-added services. These services are expected to be context-aware, attentive and personalized. Since it i...
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
In software product line (SPL) development, evolutions occur in core assets and application products. How to ensure their alignment in evolution is a big challenge. Products in an...