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Pattern Recognition

Contents:

  • Bayesian decision rule
  • Performance assessment in pattern recognition
  • Supervised learning with parametric densities
  • Supervised learning with non-parametric densities, classification
  • Linear decision functions, single-layer perceptron
  • Support vector machines (SVMs)
  • Multi-layer perceptron, neural networks (NNs)
  • Boosting methods
  • Non-supervised learning, clustering

 

Lecturer: Prof. Tim Fingscheidt

Assitant: Maximilian Strake

 

Lecture (ET-NT-102):

Contact hours (SWS): 2 h

Time: Mon 13:15 - 14:45

Location: SN 22.2

Start: 22 Oct 2018

Language: German

 

Seminar (ET-NT-103):

Contact hours (SWS): 2 h (held as block seminar)

Date: is not yet known

Time: 9.00AM - 4.30PM

Location: SN 22.2

Language: German

 

Accompanying material:

The lecture script (pdf document) can be downloaded here. Username and password will be announced in the lecture.

 

 

 

Latest information

The registration deadline for oral exam dates below will end on 12.07.2019 !

 

 

 

 

Examination

Examination type: oral

 

Date: 02.09.2019

 

Time: on appointment with Mrs. Erichsen-Rua

Location: room 306

Consultation hour (questions about exam): by agreement with Maximilian Strake

 

Information abaut exam:

Registration and appointment arrangement of the examination can be done 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.

Registration period/deadline: 1.02. 2019


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

 
 

Updated: Thursday, 27 June 2019