The Chair of Machine Learning and Computer Vision investigates methods for machine learning and vision, as well as perception in general. In addition to researching and developing methods specifically tailored to image, video, sensor, and multimedia data (data from various sources and types), the chair also explores data mining and analytics methods for production data, as sensor data from these production environments also represents a form of perception.