The dependence ow graph is a novel intermediate representation for optimizingand parallelizing compilersthat can be viewed as an executable representation of program dependences. ...
Generally, ontology learning and population is applied as a semi-automatic approach to knowledge acquisition in natural language understanding systems. That means, after the ontol...
According to a popular pattern recognition method, this paper proposes two methods to generate a secret from individual's biometric information, such as fingerprint feature p...
Abstract Real-time simulation of deformable objects involves many computational challenges to be solved, particularly in the context of haptic applications, where high update rates...
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...