Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
Abstract. Recent research indicates that prediction-based coherence optimizations offer substantial performance improvements for scientific applications in distributed shared memor...
Stephen Somogyi, Thomas F. Wenisch, Nikolaos Harda...
The interpretation by a human of a scene in video material is heavily influenced by the context of the scene. As a result, researchers have recently made more use of context in th...
Ilias Kolonias, William J. Christmas, Josef Kittle...
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
In this work we further investigate the relation, first found by Truszczy´nski, between modal logic S4F and Default Logic (DL), analyzing some interesting properties and showing ...