In this paper we study a paradigm to generalize online classification algorithms for binary classification problems to multiclass problems. The particular hypotheses we investig...
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speci...
Abstract— Knowledge of the up-to-date physical topology of an IP network is crucial to a number of critical network management tasks, including reactive and proactive resource ma...
Yuri Breitbart, Minos N. Garofalakis, Cliff Martin...
Empirical skills are playing an increasingly important role in the computing profession and our society. But while traditional computer science curricula are effective in teaching...
This paper studies the problem of plenoptic sampling in imagebased rendering (IBR). From a spectral analysis of light field signals and using the sampling theorem, we mathematica...