The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper,...
In this paper, we propose and evaluate two parallel implementations of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) for multi-core (CPU) and many-core (GPU) arc...
— In the context of adaptive query processing (AQP), several techniques have been proposed for dynamically adapting/redistributing processor load assignments throughout a computa...
The paper presents a set of approaches to extend the automatically created Slovene wordnet with nominal multiword expressions. In the first approach multiword expressions from Pri...
- Many memory-sensitive embedded applications can tolerate small performance degradations if doing so can reduce the memory space requirements significantly. This paper explores th...