186.845 Pattern Recognition
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019S, VU, 3.0h, 4.5EC

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VU Lecture and Exercise

Aim of course

  • advanced methods and algorithmus in pattern recognition
  • understanding of "state of the art" publications
  • solving of practical and theortical problems
  • knowledge of necessary basics to understand and implement new methods

Subject of course

Covered topics are for example: feature extraction, clustering methodologies, gaussian mixture models, different advanced classifiers, kernel methods, graphs, maps and grammars etc.

Additional information

4,5 ECTS * 25 h = 112,5 h

30 h Lecture (VO)
82,5 h Exercises (UE):
- 32,5 h Pratical exercises
- 50 h  Theoretical exercises

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu09:00 - 12:0007.03.2019 - 27.06.2019EI 5 Hochenegg HS Pattern Recognition
Pattern Recognition - Single appointments
DayDateTimeLocationDescription
Thu07.03.201909:00 - 12:00EI 5 Hochenegg HS Pattern Recognition
Thu14.03.201909:00 - 12:00EI 5 Hochenegg HS Pattern Recognition
Thu21.03.201909:00 - 12:00EI 5 Hochenegg HS Pattern Recognition
Thu28.03.201909:00 - 12:00EI 5 Hochenegg HS Pattern Recognition
Thu04.04.201909:00 - 12:00EI 5 Hochenegg HS Pattern Recognition
Thu11.04.201909:00 - 12:00EI 5 Hochenegg HS Pattern Recognition
Thu02.05.201909:00 - 12:00EI 5 Hochenegg HS Pattern Recognition
Thu09.05.201909:00 - 12:00EI 5 Hochenegg HS Pattern Recognition
Thu16.05.201909:00 - 12:00EI 5 Hochenegg HS Pattern Recognition
Thu23.05.201909:00 - 12:00EI 5 Hochenegg HS Pattern Recognition
Thu06.06.201909:00 - 12:00EI 5 Hochenegg HS Pattern Recognition
Thu13.06.201909:00 - 12:00EI 5 Hochenegg HS Pattern Recognition
Thu27.06.201909:00 - 12:00EI 5 Hochenegg HS Pattern Recognition

Examination modalities

Written and oral. Grading depends on the contributions during the whole term. Grade results from hand-ins and contributions during units.

(Mode inspired by: inverted class room)

 

Course registration

Begin End Deregistration end
30.01.2019 00:00 14.03.2019 12:00 29.03.2019 11:00

Curricula

Literature

No lecture notes are available.

Preceding courses

Miscellaneous

Language

if required in English