In this lecture, the fundamental methods and algorithms for pattern recognition are imparted. With the help of MATLAB exercises, practical aspects deepen the understanding.

Contents:

• Bayes decision theory
• Statistical and geometrical approaches for classification of random vectors
• Multilayer perceptron, Neural Networks
• Markov Models
• Hidden Markov Models (HMM)
• Support Vector Machines (SVM)
• Test and Evaluation of Classifiers
• Application: Text recognition

  
Lecturer: Dr.-Ing. Volker Märgner

Assistant: Werner Pantke

 

Lecture (ET-NT-081):

Contact hours (SWS): 2 h

Time: Thu 9:45 - 11:15

Location: SN 22.2

Start: 11 April 2013

Language: German

 

Exercise (ET-NT-082):

Contact hours (SWS): 1 h

Time: Thu 11:30 - 13:00 (every two weeks)

Location: SN 22.2

Planned exercises (SS 2013): 18.04. 02.05., 16.05., 30.05., 13.06., 27.06., (11.07.)

 

Language: German

 

Accompanying material:

Lecturer script:

• Chapter 1
• Chapter 2
• Chapter 3
• Chapter 4
• Chapter 5
• Chapter 6
• Chapter 7
• Chapter 8
• Chapter 9
• Chapter 10
• Chapter 11
• Chapter 12
• Chapter 13

 

Exercises:

• Exercise 1
• Exercise 2
• Exercise 3
• Exercise 4
• Exercise 5
• Exercise 6

No latest information at the moment.

Examination type: oral

Date: to be announced

Time: by agreement

Location: 310

Consultation hour (questions about exam): by agreement with Werner Pantke or Dr.-Ing. Volker Märgner

 

Information about exam:

 

Registration and appointment-arrangement of the examination can be done by telephone or by e-mail to Eike-Asslo Erichsen-Rua. Please give the following information: name, first name, matriculation number, course of study, semester and e-mail address.

In order to cancel the registration please inform Eike-Asslo Erichsen-Rua and do not forget to inform your faculty.

 

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Updated: Tuesday, 23 April 2013