Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
: Model Management aims at developing new technologies and mechanisms to support the integration, evolution and matching of models. Such tasks are to be performed by means of a set...
Verification and validation are key issues for today's SoC design projects. This paper presents the implementation of a SystemC based environment for transaction-based verifi...
Functional verification of complex designs largely relies on the use of simulation in conjunction high-level verification languages (HVL) and test-bench automation (TBA) tools. In...
This paper studies ways for modularizing transformation definitions in current rule-based model transformation languages. Two scenarios are shown in which the modular units are id...