Efficient processing of tera-scale text data is an important research topic. This paper proposes lossless compression of Ngram language models based on LOUDS, a succinct data stru...
The ever-growing use of modeling languages today is largely due to a maturation of model-based development technologies. However, there is enough room for improving language specif...
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
Enterprise corpora contain evidence of what employees work on and therefore can be used to automatically find experts on a given topic. We present a general approach for represen...
Modeling of 3D objects from image sequences is a challenging problem and has been a research topic for many years. Important theoretical and algorithmic results were achieved that...
Marc Pollefeys, Reinhard Koch, Maarten Vergauwen, ...