Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...
Abstract. We present a method based on clustering techniques to detect concept drift or novelty in a knowledge base expressed in Description Logics. The method exploits an effectiv...
Due to modern technology trends such as decreasing feature sizes and lower voltage levels, fault tolerance is becoming increasingly important in computing systems. Shared memory i...
Abstract. The generation of entity identifiers is a key issue in the context of semantic web technologies. Entity identifiers are needed when we perform any kind of operation (e.g....
We propose several tracking adaptation approaches to recover from early tracking errors in sign language recognition by optimizing the obtained tracking paths w.r.t. to the hypoth...
Philippe Dreuw, Jens Forster, Thomas Deselaers, He...