Registration
If you would like to participate in this course, please register via C@mpus.
Please register for both the lecture and the exercise. The lecture and exercise materials can be found in the ILIAS course "Detection and Pattern Recognition - Exercises". You should get access to the ILIAS course at the beginning of the lecture period, as long as you have also registered for the exercise in Campus.
Contact
Lecture email | dpr@iss.uni-stuttgart.de |
Lecturer | Prof. Dr.-Ing. Bin Yang |
Assistant | Mario Döbler |
Contents of the Lecture
1. Introduction
- Statistical signal processing
- Detection
- Pattern recognition
- Confusion matrix
2. Bayesian Decision Theory
- Bayesian theorem
- Minimum Bayesian risk decision
- Minimax decision
- Neyman-Pearson decision
- Bayesian parameter estimation
3. Detection
4. Supervised Classification Methods
- Overview
- Template matching
- Bayes Plug-In Rule
- Density estimation
- Discriminant functions
- Comparison of classifiers
5. Unsupervised learning
- Overview
- K-Means
6. Feature dimension reduction
- Feature selection
- Feature transform
7. Feature extraction