We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...
There exist a number of approaches for query processing in Peer-to-Peer information systems that efficiently retrieve relevant information from distributed peers. However, very few...
Odysseas Papapetrou, Sebastian Michel, Matthias Be...
With healthcare moving towards electronic health records, it is important to understand existing work practices to design effective systems. We conducted an observational study in...
In this paper we present a B2B integration project, which aims to augment the added value of services instead of improving efficiency by automating processes. This paper introduce...