This paper takes a computational learning theory approach to a problem of linear systems identification. It is assumed that inputs are generated randomly from a known class consist...
Mass-spring systems are of special interest for soft tissue modeling in surgical simulation due to their ease of implementation and real-time behavior. However, the parameter ident...
Background: Neoplastic transformation is a multistep process in which distinct gene products of specific cell regulatory pathways are involved at each stage. Identification of ove...
Super-resolution (SR) methods are largely affected by the accurate evaluation of the Point Spread Function (PSF) that is related to the input frames. When the frames are degraded ...
Maria E. Angelopoulou, Christos-Savvas Bouganis, P...
A number of algorithms and approaches have been proposed towards the problem of scanning and digitizing research papers. We can classify work done in the past into three major appr...
Deepank Gupta, Bob Morris, Terry Catapano, Guido S...