We propose a method for reliably and accurately identifying anatomical landmarks in 3D CT volumes based on dense matching of parts-based graphical models. Such a system can be use...
We present an analytical method to evaluate embedded network packet processor architectures, and to explore their design space. Our approach is in contrast to those based on simul...
As computing systems of all types grow in power and complexity, it is common to want to simultaneously execute processes with different timeliness constraints. Many systems use CP...
In the beginning of nineties, Hava Siegelmann proposed a new computational model, the Artificial Recurrent Neural Network (ARNN), and proved that it could perform hypercomputation....
Vision-based systems for remote surveillance usually involve change detection algorithms for intruders, obstacles or irregularities detection. In particular, there is a potentiall...