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Pattern Recognition

Course 0000001059 in SS 2014

General Data

Course Type Lecture w/ Exercise
Semester Weekly Hours 4 SWS
Organisational Unit Chair of Human-Machine Communication (Prof. Rigoll)

Further Information

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

Equivalent Courses (e. g. in other semesters)

SS 2017 Pattern Recognition
SS 2016 Pattern Recognition
SS 2015 Pattern Recognition
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