Pattern Recognition
Technische Universität München
- Docent
-
- Type
- Lecture
- Term
- summer semester
- Subject type
- Optional
- Study path
- Electrical Engineering and Information Technology
- Specialisation/branch
- Human-Machine-Interaction
- Keywords
- Pattern recognition applications, Feature extraction for patterns, Time-frequency transformations, Wavelets, Gabor-transformation, LDA, KLT, Distance classifiers, Decision functions, Polynomial classifiers, Clustering methods, Bayes classifier, Maximum Likelihood methods, MAP, EM algorithm, Distribution-free probability estimators
- Total ECTS credit
- 5.0
- Examination
- oral test
- Language
- Webpage
- https://www.ei.tum.de/en/mmk/courses/pattern-recognition/
- Last modified
- Nov. 30, 2024, 1:43 p.m.