Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks |
Pattern recognition applications, feature extraction for patterns, timefrequency transformations, Wavelets, Gabor-transformation, PCA, LDA, distance classifiers, decision functions, polynomial classifiers, clustering methods, Bayes classifiers, Maximum Likelihood methods, MAP, EM algorithm, distribution-free probability estimators. |
| Links |
E-Learning course (e. g. Moodle)
TUMonline entry
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