This paper presents an agent-based approach to semantic exploration and knowledge discovery in large information spaces by means of capturing, visualizing and making usable implic...
Jasminko Novak, Michael Wurst, Monika Fleischmann,...
Applying computer vision technology to IR (Infra-Red) images for UAV (Unmanned Aerial Vehicle) applications is difficult due to its characteristics which differ from common image ...
We present a method to learn visual attributes (eg.“red”,
“metal”, “spotted”) and object classes (eg. “car”,
“dress”, “umbrella”) together. We assume imag...
The focus of this paper is on crafting a new visual language for attribute grammars (AGs), and on the development of the associated programming environment. We present a solution f...
This paper reports on results concerning the combination of non-standard semantics via interpreters. We define what a semantics combination means and identify under which condition...