We study the problem of object classification when training
and test classes are disjoint, i.e. no training examples of
the target classes are available. This setup has hardly be...
Christoph H. Lampert, Hannes Nickisch, Stefan Harm...
Abstract. We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method...
The performance of an ontology alignment technique largely depends on the amount of information that can be leveraged for the alignment task. On the Semantic Web, end-users may ex...
Modern computer systems are based on a wide variety of software servers, such as web servers, application servers, database servers, and mail servers. The typical software archite...
In an integrated services network, resources are shared by multiple traffic classes. Service classes that deliver guaranteed Quality-ofService (QoS) to applications have priority ...