The aim of this exercise is to deppen the understanding of the theory on patter recognition taught in the related lecture (186.844). Problems in pattern recognition should be solve single-handed with the help of the software system MATLAB.
Feature extraction, basics of probability theory (conditional probabilities, marginal distributions, independence, covariance matrices, etc.), Bayes theorem, simple classifiers (kNN, nearest neighbor, persceptron, etc.)
Four Assigments have to be solved single-handed in MATLAB. In addition, a report has to be written explaining the solution and results.
ECTS distribution: