While participating in the HARD track our first question was, what an IR-application should look like that takes into account preference meta-data from the user, without the need ...
In this work, we present a new semantic language modeling approach to model news stories in the Topic Detection and Tracking (TDT) task. In the new approach, we build a unigram la...
We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
This paper discusses the concept of validation and proposes a multistage validation framework for traffic simulation models. The framework consists of conceptual validation and op...
The paper presents objectives and results of a series of case studies in computer support for diagnosis, failure mode and effects analysis, and the creation of repair manuals in t...