Techn. Fakultät Willkommen am Institut für Informatik FAU-Logo


General Information

The first date for the lecture is 

Tuesday, October 15, 2013 in room H10, 08:15.

The exercises will start October 22, more information is given in the first lecture.


The lecture will discuss the following topics: 

  • Classification and Simple Patterns
  • Bayesian Classifier
  • Logistic Regression
  • Gaussian Classifiers and Naive Bayes
  • Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA)
  • Linear Regression, Ridge Regression, Lasso
  • Rosenblatt's Perceptron and Multi-Layer Perceptrons (MLP)
  • Support Vector Machines (SVM), Laplacian SVM
  • Kernels
  • Gaussian Mixture Models (GMM) and the Expectation Maximization (EM) Algorithm
  • Independent Component Analysis (ICA)
  • Model Assessment and Selection
  • AdaBoost

The methods and procedures that are presented in this lecture are illustrated in the exercise courses. The tutorials put emphasis on the practical realization of these methods. 


The slides of the lecture are available here.

It is absolutely recommended to attend the lectures in order to make personal notes. In addition, covered topics should be completed with personal research in the recommended technical literature and publications that will be announced in the lecture.


The web page of the exercise courses is here.

It is absolutely recommended to attend the exercise courses and to do the assigned homework in order to get a deeper understanding of the topics discussed in the lecture.

Video Recordings

The videos of the lecture 'Pattern Recognition (PR)'  given by Prof. Hornegger in the winter term 2011/12 are available here.