This paper describes a comprehensive approach to construct robust multi-modal video classification on a specific digital source, broadcast news. Broadcast news has a very stable s...
Harmonic analysis and diffusion on discrete data has been shown to lead to state-of-theart algorithms for machine learning tasks, especially in the context of semi-supervised and ...
Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman
This paper presents a theoretically very simple yet efficient approach for gray scale and rotation invariant texture classification based on local binary patterns and nonparametric...
This paper describes a new technique for automatically developing Artificial Neural Networks (ANNs) by means of an Evolutionary Computation (EC) tool, called Genetic Programming (G...
We show that the discrimination between visually similar classes often depends on the detection of socalled ‘satellite features’. These are local features which are not inform...