One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across many different fields ranging from computational...
Many applications require the clustering of large amounts of high-dimensional data. Most clustering algorithms, however, do not work e ectively and e ciently in highdimensional sp...
We show that categories induced by unsupervised word clustering can surpass the performance of gold part-of-speech tags in dependency grammar induction. Unlike classic clustering ...
Valentin I. Spitkovsky, Hiyan Alshawi, Angel X. Ch...
In this paper we present polishing, a novel technique to maximize the playback utility of a streamed layer-encoded video. Polishing reduces the amount of layer variations in a cac...
Michael Zink, Oliver Heckmann, Jens Schmitt, Andre...
The understanding of Semantic Web documents is built upon ontologies that define concepts and relationships of data. Hence, the correctness of ontologies is vital. Ontology reason...
Jin Song Dong, Chew Hung Lee, Hian Beng Lee, Yuan-...