Adaptive binarization is an important first step in many document analysis and OCR processes. This paper describes a fast adaptive binarization algorithm that yields the same qual...
Ambient intelligence involves synthesising data from a range of sources in order to exhibit meaningful adaptive behaviour without explicit user direction, driven by inputs from lar...
The adaptive TAP Gibbs free energy for a general densely connected probabilistic model with quadratic interactions and arbritary single site constraints is derived. We show how a ...
tor. In order to capture different data models at a time, an abstract algebraic approach based on nested attributes is taken. The presence of the list constructor calls for a new i...
Sven Hartmann, Sebastian Link, Klaus-Dieter Schewe
This paper discusses the integration of the Dresden OCL Toolkit into the Fujaba Tool Suite. The integration not only adds OCL support for class diagrams but also makes OCL usable i...