A strong inductive bias is essential in unsupervised grammar induction. In this paper, we explore a particular sparsity bias in dependency grammars that encourages a small number ...
The dependency pair framework is a powerful technique for proving termination of rewrite systems. One of the most frequently used methods within the dependency pair framework is t...
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
Many distributed video coders are implemented using sophisticated error correction codes that use soft information (conditional probabilities) as a priori knowledge. This a priori...
Ronald P. Westerlaken, Stefan Borchert, Rene Klein...
Multivariate analysis methods such as independent component analysis (ICA) have been applied to the analysis of functional magnetic resonance imaging (fMRI) data to study the brai...