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: Slides.
MA-INF2201
Wednesday, 8:30-10:00, CP1-HSZ / Hörsaal 3
Friday, 8:30-10:00, CP1-HSZ / Hörsaal 3 (every second week)
Start: Wednesday, 11.04.
Dates: 11.04., 13.04., 18.04., 25.04., 27.04., 02.05., 09.05., 11.05., 30.05., 01.06., 06.06., 13.06., 15.06., 20.06., 27.06., 04.07., 11.07., 13.07.
Theory and programming. At least 50% of the exercise points are required to qualify for exam. The programming exercises are implemented in C++ and OpenCV.
Register for exercise groups until 12.04. at
Schedule
Friday, 9:00-10:00, Endenicher Allee 19a, 2.025 (every second week)
Start: Friday, 20.04.
Dates: 20.04., 04.05., 18.05., 08.06., 22.06., 06.07.
Registration period: 01.06.-21.06.
Exam: Thursday, 26.07., Endenicher Allee 19a, 2.037
2nd Exam: Thursday, 06.09., Endenicher Allee 19a, 2.037