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Pattern Recognition

Course 0000002412 in SS 2020

General Data

Course Type lecture
Semester Weekly Hours 2 SWS
Organisational Unit Chair of Human-Machine Communication (Prof. Rigoll)
Lecturers Gerhard Rigoll
Dates Wed, 13:15–14:45, virtuell

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 E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SS 2023 Pattern Recognition Gilg, J. Rigoll, G.
SS 2022 Pattern Recognition Gilg, J. Rigoll, G. Wed, 13:15–14:45, N1189
SS 2021 Pattern Recognition Rigoll, G. Wed, 14:00–14:45, virtuell
SS 2019 Pattern Recognition Rigoll, G. Wed, 13:15–14:45, N1189
SS 2018 Pattern Recognition Wed, 13:15–14:45, N1189
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