Abstract. We present an island model that uses different representations in each island. The model transforms individuals from one representation to another during migrations. We ...
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
Abstract. Model-Driven Software Development is based on standardised models that are refined, transformed and eventually translated into executable code using code generators. How...
The objectives of this paper are to present, describe, and explain the foundations and the functionalities of a temporal knowledge acquisition and modeling solution workflow, which...
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...