Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
The development of application specific instruction set processors comprises several design phases: architecture exploration, software tools design, system verification and design...
Oliver Schliebusch, Andreas Hoffmann, Achim Nohl, ...
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
Recent work on Conditional Random Fields (CRFs) has demonstrated the need for regularisation when applying these models to real-world NLP data sets. Conventional approaches to regu...
ns to define the abstract modelling language that determines the structure of the models that are to be used a two-step meta-modelling approach turned out as most adequate. In the ...