Location and Venue: Tuesday, 3.9.2013, 14.00-14.50 in room 016, building E1.3 at the Campus of Saarland University.
Challenges of high-dimensional data analysis from the application's perspective
Prof. Dr. Udo Seiffert
(Fraunhofer IFF, Magdeburg)
The analysis of high-dimensional data typically leads to various challenges. This talk will address a number of these challenges against the background of neural computation / machine learning from the perspective of applications – primarily hyperspectral image processing. Apart from several general and versatile concepts a specific application might introduce further limitations in terms of the applicability of general concepts, but often also contributes additional a-priori information that eases prevailing problems. The demand for better interpretability of models and results becomes increasingly relevant.
