We propose a considerably faster approximation of the well known SIFT method. The main idea is to use efficient data structures for both, the detector and the descriptor. The detec...
Due to the heterogeneous nature of XML data for internet applications exact matching of queries is often inadequate. The need arises to quickly identify subtrees of XML documents ...
Ismael Sanz, Marco Mesiti, Giovanna Guerrini, Rafa...
The SIFT (Scale Invariant Feature Transform) descriptor is a widely used method for matching image features. However, perfect scale invariance can not be achieved in practice becau...
Modern digital music libraries contain textual, visual, and audio data describing music on various semantic levels. Exploiting the availability of different semantically interrela...
Memory management is a critical issue for correctness and performance in real-time embedded systems. Recent work on real-time garbage collectors has shown that it is possible to p...