Lock-free algorithms have been developed to avoid various problems associated with using locks to control access to shared data structures. These algorithms are typically more int...
Och's (2003) minimum error rate training (MERT) procedure is the most commonly used method for training feature weights in statistical machine translation (SMT) models. The u...
Abstract: Retrieval of web-based geographic information (GI) for spatial decisionmaking processes can benefit from emerging semantic technologies. Ontology-supported metadata, col...
Given a set P of n points in the plane, a Manhattan network of P is a network that contains a rectilinear shortest path between every pair of points of P. A minimum Manhattan netw...
The simple access to texts on digital libraries and the WWW has led to an increased number of plagiarism cases in recent years, which renders manual plagiarism detection infeasibl...