In this paper, an efficient approach by combining the novel wavelet-based feature template, the support vector machine (SVM) classifier, and the wavelet entropy filtering is prese...
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
An iterative method to select suitable features in an industrial fabric defect recognition context is proposed in this paper. It combines a global feature selection method based on...
Emmanuel Schmitt, Vincent Bombardier, Laurent Wend...
We detect design patterns in legacy code combining static and dynamic analyses. The analyses do not depend on coding or naming conventions. We classify potential pattern instances...
This paper examines several different approaches to exploiting structural information in semi-structured document categorization. The methods under consideration are designed for ...