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Pattern Recognition Exercise

Course 0000000946 in SS 2023

General Data

Course Type exercise
Semester Weekly Hours 2 SWS
Organisational Unit Chair of Human-Machine Communication (Prof. Rigoll)
Lecturers Johannes Gilg
Gerhard Rigoll
Torben Teepe

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, data preprocessing, distance classifiers, decision functions, polynomial classifiers, clustering methods, self-organizing maps, Bayes classifiers, Maximum Likelihood methods, probabilistic inference, VC dimension, decision trees and random forests, perceptron, support vector machines.
Links TUMonline entry

Equivalent Courses (e. g. in other semesters)

SS 2022 Pattern Recognition Exercise Gilg, J. Rigoll, G. Teepe, T. Fri, 11:30–13:00, N1189
SS 2021 Pattern Recognition Exercise Rigoll, G. Teepe, T.
SS 2020 Pattern Recognition Exercise Rigoll, G. Watzel, T. Fri, 11:30–13:00, virtuell
SS 2019 Pattern Recognition Exercise Rigoll, G. Fri, 11:30–13:00, N1189
and singular or moved dates
SS 2018 Pattern Recognition Exercise dates in groups
SS 2017 Pattern Recognition Exercise
SS 2016 Pattern Recognition Exercise
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