We propose Markov chain Monte Carlo sampling methods to address uncertainty estimation in disparity computation. We consider this problem at a postprocessing stage, i.e. once the d...
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...
In this paper, we present InfoScent Evaluator, a tool that automatically evaluates the semantic appropriateness of the descriptions of hyperlinks in web pages. The tool is based o...
Christos Katsanos, Nikolaos K. Tselios, Nikolaos M...
This paper shows the design and performance of an AQM (Active Queue Management) enabled router. The design is based on a classical proportional control system. The application of ...
We consider the problem of optimal allocation of computing budget to maximize the probability of correct selection in the ordinal optimization setting. This problem has been studi...