This paper investigates theoretically based instructional approaches for organizational training, education and knowledge acquisition for simulation modeling. It proposes differen...
Tajudeen A. Atolagbe, Vlatka Hlupic, Simon J. E. T...
We present a novel Object Recognition approach based on affine invariant regions. It actively counters the problems related to the limited repeatability of the region detectors, an...
Vittorio Ferrari, Tinne Tuytelaars, Luc J. Van Goo...
Conventional methods used for the interpretation of activation data provided by functional neuroimaging techniques provide useful insights on what the networks of cerebral structu...
The design of state-of-the-art, complex embedded systems requires the capability of modeling and simulating the complex networked environment in which such systems operate. This i...
Franco Fummi, Giovanni Perbellini, Paolo Gallo, Ma...
This paper illustrates how a computer model, based on Venn-networks, mimics a physiological phenomenon present in brains of higher animals: contra-lateral inhibition. The experimen...