—Most research works focus on pattern recognition within a small sample images but strategies for running efficiently these algorithms over large images are rarely if ever speci...
Antoine Veillard, Nicolas Lomenie, Daniel Racocean...
Motivated by the observation that coarse and fine resolutions of an image reveal different structures in the underlying visual phenomenon, we present a model based on the Deep B...
Functional testing of a query language is a challenging task in practice. In order to reveal errors in the query processing functionality, it is necessary to verify the actual res...
Carsten Binnig, Donald Kossmann, Eric Lo, Angel Sa...
OPL is a modeling language for mathematical programming and combinatorial optimization problems. It is the first modeling language to combine high-level algebraic and set notation...
Pascal Van Hentenryck, Laurent Michel, Philippe La...
Breiman's bagging and Freund and Schapire's boosting are recent methods for improving the predictive power of classi er learning systems. Both form a set of classi ers t...