Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
We introduce billboard clouds – a new approach for extreme simplification in the context of real-time rendering. 3D models are simplified onto a set of planes with texture and...
The meaning conveyed by documents and their markup often goes well beyond what can be inferred from the markup alone. It often depends on context, so that to interpret document ma...
This paper introduces a hybrid metaheuristic, the Variable Neighborhood Particle Swarm Optimization (VNPSO), consisting of a combination of the Variable Neighborhood Search (VNS) ...
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...