This paper presents ontology-based architecture for pattern recognition in the context of static source code analysis. The proposed system has three subsystems: parser, OWL ontolog...
In this paper, we address the problem of robustly recovering several instances of a curve model from a single noisy data set with outliers. Using M-estimators revisited in a Lagran...
Jean-Philippe Tarel, Pierre Charbonnier, Sio-Song ...
Levelwise algorithms (e.g., the Apriori algorithm) have been proved eective for association rule mining from sparse data. However, in many practical applications, the computation ...
The issues of schema evolution and temporal object models are generally considered to be orthogonal and are handled independently. However, to properly model applications that nee...
Iqbal A. Goralwalla, Duane Szafron, M. Tamer Ö...
In a distributed system where scalability is an issue, like in a GRID [5], the problem of enforcing mutual exclusion often arises in a soft form: the infrequent failure of the mut...