Tentative: linear methods for classification and regression, random forests, neural networks, SVMs, prototype methods, nearest neighbors, Gaussian processes, metric learning, structured learning, image classification, object detection, action recognition, pose estimation, face analysis, tracking.
MA-INF2201 is recommended but not required.
Wednesday, 10:15-11:45, CP1-HSZ / Hörsaal 3
Friday, 10:15-11:45, CP1-HSZ / Hörsaal 3 (every second week)
Start: Wednesday, 05.04.
Theory and programming. At least 50% of the exercise points are required to qualify for exam. The programming exercises are implemented in Python and OpenCV.
Register for the exercises until 10.04. at
Friday, 10:15-11:45, CP1-HSZ / Hörsaal 3 (every second week; sometimes on Wednesday)
Exam: 26.7.-27.7., 2.037, Informatikzentrum
2nd Exam: 11.9.-12.9., 2.037, Informatikzentrum
If you have not received an email with a time slot, please contact me.