Model transformations are frequently applied in business process modeling to bridge between languages on a different abstraction and formality. In this paper, we define a transfor...
The Hough transform provides an efficient way to detect objects. Various methods have been proposed to achieve discriminative learning of the Hough transform, but they have usuall...
The IMage Euclidean Distance (IMED) is a class of image metrics, in which the spatial relationship between pixels is taken into consideration. It was shown that calculating the IM...
In this report, we propose a new definition of the E2 DT (Squared Euclidean Distance Transformation) on irregular isothetic grids. We describe a new separable algorithm to compute...
This paper presents the results of a software usability study, involving both subjective and objective evaluation. It compares a popular XML data transformation language (XSLT) an...