In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
We study the upgrading problem of existing Passive Optical Networks (PONs) that need to increase their capacity at different points in time. Our method upgrades line rates and migr...
M. De Andrade, Massimo Tornatore, S. Sallent, Bisw...
Diffusion Kurtosis Imaging (DKI) is a new magnetic resonance imaging model that describes the non-Gaussian diffusion behavior in tissues. It has recently been shown that DKI param...
Dirk H. J. Poot, Arnold Jan den Dekker, Eric Achte...
Abstract--Unlimited vocabulary annotation of multimedia documents remains elusive despite progress solving the problem in the case of a small, fixed lexicon. Taking advantage of th...