The methodology of fibring is a successful framework for combining logical systems based on combining their semantics. In this paper, we extend the fibring approach to calculi for ...
In this paper we explore different strategies for classifier combination within the framework of component-based face recognition. In our current system, the gray values of facial...
Abstract The problem of portfolio risk estimation in volatile markets requires employing fat-tailed models for financial instrument returns combined with copula functions to captur...
Stoyan V. Stoyanov, Borjana Racheva-Iotova, Svetlo...
Abstract. We consider the problem of estimating the shape and radiance of a scene from a calibrated set of images under the assumption that the scene is Lambertian and its radiance...
Error Correcting Output Codes (ECOC) represent a successful framework to deal with multi-class categorization problems based on combining binary classifiers. In this paper, we pre...