The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
It is great practical interest to decide when to stop testing a software system in development phase and transfer it to the user. This problem is called as the optimal software re...
In this paper we describe an online/incremental linear binary classifier based on an interesting approach to estimate the Fisher subspace. The proposed method allows to deal with ...
Alessandro Rozza, Gabriele Lombardi, Marco Rosa, E...
—Dynamic reconfiguration – the ability to hot swap a component, or to introduce a new component into the system – is essential to supporting evolutionary change in long-live ...
As a recently proposed technique, sparse representation based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse lin...