Legal-RDF.org1 publishes a practical ontology that models both the layout and content of a document and metadata about the document; these have been built using data models implici...
This article presents a contribution to the visual tracking of objects using all the degrees of freedom of an Aibo ERS-7 robot. We approach this issue in a principled way applying ...
Zelmar Echegoyen, Alicia D'Anjou, Manuel Gra&ntild...
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...