Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Abstract. This paper addresses the clustering problem of hidden dynamical systems behind observed multivariate sequences by assuming an interval-based temporal structure in the seq...
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...
Structuring of information proceeds through the foregrounding of certain parts of the information. In general, foregrounding can be realized on various linguistic levels and it is...
We explore foundational typing support for strong updates — updating a memory cell to hold values of unrelated types at different points in time. We present a simple, but expres...