Our mission is to investigate and develop computational models and algorithms that permit computers to
perceive and understand aspects of the external world, where we interpret perception in the widest sense of
the word, as the extraction of useful high-level information and knowledge from complex, possibly low-level data
(audio, video, images, sensor data, texts, databases, or even the Internet).
Thus, our research and teaching focuses on problems like pattern recognition, knowledge extraction, and data
and text mining, with methods from fields like signal processing, statistical pattern recognition and classification,
machine learning, and generally Artificial and Computational Intelligence. Our current research has a particular
focus on intelligent audio and music processing, computer vision, and biometrics.