We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...
The Vienna Component Framework (VCF) supports the interoperability and composability of components across different component models, a facility that is lacking in existing compon...
Johann Oberleitner, Thomas Gschwind, Mehdi Jazayer...
This work presents a spatial channel model developed within the EC WINNER' project. The channel model is mainly based on double-directional measurement campaigns carried out i...
Hassan El-Sallabi, Daniel S. Baum, Per Zetterberg,...
This paper presents a methodology to automate natural language requirements analysis and class model generation based on the Rational Unified Process (RUP). Use-case language schem...