Abstract. Nearest-neighbor queries in high-dimensional space are of high importance in various applications, especially in content-based indexing of multimedia data. For an optimiz...
We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the rig...
Daniel Kuettel, Michael Breitenstein, Luc Van Gool...
The problem of disk declustering is to distribute data among multiple disks to reduce query response times through parallel I/O. A strictly optimal declustering technique is one t...
Hakan Ferhatosmanoglu, Aravind Ramachandran, Ali S...
Abstract. We consider query execution strategies for object-oriented distributed databases. There are several scenarios of query decomposition, assuming that the corresponding quer...
Hanna Kozankiewicz, Krzysztof Stencel, Kazimierz S...
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...