Pattern Recognition and
Image Processing Group
Institute of Computer Graphics and Algorithms
Introduction to Pattern Recognition
Aim of course
The aim of this exercise is to deppen the understanding of the theory on patter recognition taught in the related lecture (186.844). Problems in pattern recognition should be solve single-handed with the help of the software system MATLAB.
Subject of course
Feature extraction, basics of probability theory (conditional probabilities, marginal distributions, independence, covariance matrices, etc.), Bayes theorem, simple classifiers (kNN, nearest neighbor, persceptron, etc.), ...
For students registered in TISS a TUWEL course provides assigments, the slides of the related lecture (186.844), additional material, demos, etc.
2014 PRIP, Impressum
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