Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
We introduce the notion of hierarchical group signatures. This is a proper generalization of group signatures, which allows multiple group managers organized in a tree with the si...
DPLL and DPLL Modulo Theories Robert Nieuwenhuis , Albert Oliveras , and Cesare Tinelli We introduce Abstract DPLL, a general and simple abstract rule-based formulation of the Davi...
Robert Nieuwenhuis, Albert Oliveras, Cesare Tinell...
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
Just as the order defined by generality over concepts allows concept induction to be performed without generalisation/specialisation operators, so too the order defined by set inc...