Feature selection is attracted much interest from researchers in many fields such as pattern recognition and data mining. In this paper, a novel algorithm for feature selection is...
In this paper, we present a trainable approach to discriminate between machine-printed and handwritten text. An integrated system able to localize text areas and split them in tex...
We develop a rigorous semantics for Power and ARM multiprocessor programs, including their relaxed memory model and the behaviour of reasonable fragments of their instruction sets...
Jade Alglave, Anthony C. J. Fox, Samin Ishtiaq, Ma...
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
Training statistical models to detect nonnative sentences requires a large corpus of non-native writing samples, which is often not readily available. This paper examines the exte...