Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
We introduce a learning algorithm for the weights in a very common class of discrimination functions usually called weighted average". Di erent submodules are produced by som...
The Use Case Map (UCM) scenario notation has some strong features related to rapid capture and evaluation of requirements models. In this paper, we explain how a UCM model was deve...
Dorin Bogdan Petriu, Daniel Amyot, C. Murray Woods...
We present a probabilistic multi-cue tracking approach constructed by employing a novel randomized template tracker and a constant color model based particle filter. Our approach ...
Networking Named Content (NNC) was recently proposed as a new networking paradigm to realise Content Centric Networks (CCNs). The new paradigm changes much about the current Intern...
Ioannis Psaras, Richard G. Clegg, Raul Landa, Wei ...