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Pattern Recognition (Mustererkennung)
  • Summer Semester Lectures and Practicals
    • Advanced Topics in Mobile Radio Systems
    • Coding Theory
    • Computer Lab Pattern Recognition
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    • ⤶ Teaching & Studies
    • ⌂ IfN

Pattern Recognition (Mustererkennung)

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: Yihui Fu


Lecture (ET-NT-102)
Contact hours (SWS): 1.5 h
Time: Tuesday 09:45 - 11:15 (first lecture on tuesday 15.04.2025)
Location: SN 22.1
Language: English

StudIP Link

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 22.1
Language: English

StudIP Link

Accompanying material

Latest information and the accompanying material can be found in StudIP.

Latest information

For the participation in the lecture and the seminar, the registration in StudIP is necessary.

Examination

Examination type:  Presence exam

Date:  28.08.2025

Time:  15:30 - 17:00 PM.

Entry admission starts at 15:00 PM

Location : Audimax, SN 19.3

Consultation hour (questions about exam): by agreement with Yihui Fu   

Information about exam:

Students are requested to register (and, if desired, deregister) at their respective department (facoulty) before the respective deadline. All participants must have a student ID an additionally a different valid ID with a photo.

  • Exam is scheduled to last   90 minutes  .
  • The exam will be available in both German and English.
  • The exam is a closed-book exam. Therefore, lecture scripts, notes, communication devices, et al., are NOT allowed during the exam. 
  • Allowed material:
    •   Indelible pens. No pencils, not even for drawing
    • Non-programmable calculator
    • Dividers, Ruler
    • Helper sheet "Basics of Probabilities and Probability Density Functions” (We will provide. Only the provided version printed on colored paper is allowed.)

The exam results are available here:

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