Deep Learning-based algorithms showed great performance in many fields of image procession and pattern recognition and compete with technologies such as compressive sensing and iterative optimization. The basis for the success of these algorithms is the availability of large amounts of data (big data) for training and of high computing power (typically GPUs). A major shortcoming is typically the number of labels that is required to train machine learning algorithms. Therefore, this project seminar will look into how to tackle this problem looking into topics of crowd-sourcing and gamification. To arrive at good solutions also mobile game development will be a topic of interest. Aim of the seminar is to develop a prototype level for such a gamification-based crowd sourcing approach.

Dates & Rooms:
Monday, 8:15 - 9:45; Room: KH 1.021

Hornegger, Joachim
Maier, Andreas
Ritschl, Ludwig