An approach to managing the architecture of large software systems is presented. Dependencies are extracted from the code by a conventional static analysis, and shown in a tabular...
Neeraj Sangal, Ev Jordan, Vineet Sinha, Daniel Jac...
This tutorial reports on the use of nonlinear dynamics in several different models of neural systems. We discuss a number of distinct approaches to neural information processing ba...
Graphical models are fundamental tools for modeling images and other applications. In this paper, we propose the Logistic Random Field (LRF) model for representing a discrete-valu...
Marshall F. Tappen, Kegan G. G. Samuel, Craig V. D...
Model-based development is state of the art in software engineering, due to its potential regarding automatic code synthesis. Nevertheless for embedded systems, where there exists...
Matthias Regensburger, Christian Buckl, Alois Knol...
We propose an extended relational database model which can model both uncertainty and imprecision in data. This model is basedon Dempster-Shafertheory which has become popular in ...