Module CS4220-KP04, CS4220

Duration

1 Semester

Turnus of offer

not available anymore

Credit points

4

Course of studies, specific fields and terms:

• Master MES 2020, optional subject, medical engineering science
• Master Media Informatics 2020, optional subject, computer science
• Master MES 2014, optional subject, medical engineering science
• Master Robotics and Autonomous Systems 2019, optional subject, Elective
• Master CLS 2016, compulsory, mathematics
• Master Medical Informatics 2019, optional subject, Medical Data Science / Artificial Intelligence
• Master Medical Informatics 2014, optional subject, medical image processing

Classes and lectures:

• Pattern Recognition (exercise, 1 SWS)
• Pattern Recognition (lecture, 2 SWS)

Workload:

• 20 hours exam preparation
• 45 hours in-classroom work
• 55 hours private studies

Contents of teaching:

• Introduction to probability theory
• Principles of feature extraction and pattern recognition
• Bayes decision theory
• Discriminance functions
• Neyman-Pearson test
• Receiver Operating Characteristic
• Parametric and nonparametric density estimation
• kNN classifiers
• Linear classifiers
• Support vector machines and kernel trick
• Random Forest
• Neural Nets
• Feature reduction and feature transforms
• Validation of classifiers
• Selected application scenarios: acoustic scene classification for the selection of hearing-aid algorithms, acoustic event recognition, attention classification based on EEG data, speaker and emotion recognition

Qualification-goals/Competencies:

• Students are able to describe the main elements of feature extraction and pattern recognition.
• They are able to explain the basic elements of statistical modeling.
• They are able to use feature extraction, feature reduction and pattern classification techniques in practice.

Grading through:

• Written or oral exam as announced by the examiner

Responsible for this module:

• Prof. Dr.-Ing. Alfred Mertins

Teacher:

• Institute for Signal Processing
• Prof. Dr.-Ing. Alfred Mertins

Literature:

• R. O. Duda, P. E. Hart, D. G. Storck : Pattern Classification New York: Wiley

Language:

• offered only in German

Notes:

Last Updated:

25.08.2023