The course will start later as the start of the summer semester has been postponed to 20. April 2020. If the lecture hall remains closed due to Sars-CoV-2, the course will be offered as video lecture.
Tentative: linear methods for classification and regression, boosting, 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.
The slides will be provided via sciebo.
MA-INF2201
Wednesday, 10:15-11:45, CP1-HSZ / Hörsaal 3
Friday, 10:15-11:45, CP1-HSZ / Hörsaal 3 (every second week)
Start: Wednesday, 22.04.
Dates: 22.04., 24.04., 29.04., 08.05., 13.05., 20.05., 22.05., 27.05., 03.06., 05.06., 10.06., 24.06., 26.06., 01.07., 08.07., 10.07., 17.07.
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.
Schedule
Friday, 10:15-11:45, Endenicher Allee 19a, 2.025 (every second week; sometimes on Wednesday)
Start: Wednesday, 06.05.
Dates: 06.05., 15.05., 29.05., 12.06., 03.07., 15.07.