Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...
Axel J. Soto, Marc Strickert, Gustavo E. Vazquez, ...
This paper presents in-formation flocking, a novel information visualization technique that extends the original information flocking concept with dynamic and data-driven visual fo...
The Self-Organizing Map, SOM, is a widely used tool in exploratory data analysis. A major drawback of the SOM has been the lack of a theoretically justified criterion for model se...
— The localization of mobile systems with video data is a challenging field in robotic vision research. Apart from artificial environmental support technologies like GPS locali...
The monitoring and visualization of enterprise-wide and cross-organizational business processes is an important, but also very complex task. The information needed for visualizing...