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Pattern Recognition

Course 0000000377 in SS 2017

General Data

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

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)

SemesterTitleLecturersDates
SS 2016 Pattern Recognition
SS 2015 Pattern Recognition
SS 2014 Pattern Recognition
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