Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
A fundamental assumption often made in supervised classification is that the problem is static, i.e. the description of the classes does not change with time. However many practi...
Abstract. A large volume of data with complex structures is currently represented in GML (Geography Markup Language) for storing and exchanging geographic information. As the size ...
We study the effectiveness of stereoscopy and smooth motion as 3D cues for medical interpretation of vascular structures as obtained by 3D medical imaging techniques. We designed ...
Boris W. van Schooten, Elisabeth M. A. G. van Dijk...
The study of how metal deforms and flows as parts are machined yields important insights into the metal cutting process. Improvements in high-speed digital imaging and image proce...