Pattern Recognition and
Image Processing Group
Institute of Visual Computing and Human-Centered Technology
PRIP
TU Wien Informatics

Introduction to Pattern Recognition

UE 186.840
For schedule & exams see TISS
Lecturer: Jiri Hladuvka
Introduction (Vorbesprechung): 04.10.2021, see info in TUWEL.

Aim of course

The aim of this exercise is to deepen the understanding of the theory of pattern recognition taught in the related lecture (186.844). Assignments will be solved in Python using Jupyter notebooks.

Subject of course

  • Design of pattern recognition systems
  • Features: extraction, selection, reduction, PCA
  • Regression and classification, k-Nearest Neighbors
  • Bayes theorem
  • Linear discriminants, Percpetron
  • Neural networks
  • Decision trees
  • Markov models
  • Evalutaion of pattern recognition systems
  • Clustering

TUWEL

For students registered in TISS a TUWEL course provides assigments, the slides of the related lecture (186.844), additional material, etc.

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