Introduction to Pattern Recognition (lectures + exercises) (IntroPR)7.5 ECTS
(Prüfungsordnungsmodul: Introduction to Pattern Recognition)

Lectures:

• • Introduction to Pattern Recognition
    (Vorlesung, 3 SWS, Elli Angelopoulou, Tue, 10:15 - 11:45, A 2.16; Wed, 12:15 - 13:45, 0.68)
  • Introduction to Pattern Recognition Exercises
    (Übung, 1 SWS)

Inhalt:

The goal of this lecture is to familiarize the students with the overall pipeline of a Pattern Recognition System. The various steps involved from data capture to pattern classification are presented. The lectures start with a short introduction, where the nomenclature is defined. Analog to digital conversion is briefly discussed with a focus on how it impacts further signal analysis. Commonly used preprocessing methods are then described. A key component of Pattern Recognition is feature extraction. Thus, several techniques for feature computation will be presented including Walsh Transform, Haar Transform, Linear Predictive Coding, Wavelets, Moments, Principal Component Analysis and Linear Discriminant Analysis. The lectures conclude with a basic introduction to classification. The principles of statistical, distribution-free and nonparametric classification approaches will be presented. Within this context we will cover Bayesian and Gaussian classifiers, as well as artificial neural networks. The accompanying exercises will provide further details on the methods and procedures presented in this lecture with particular emphasis on their application.

Lernziele und Kompetenzen:

Students gain knowledge about the general pipeline of a pattern recognition system, including:

• A/D conversion and signal preprocessing,

• various feature extraction methods, and

• machine classification techniques.

Literatur:

• lecture notes

• H. Niemann: Klassifikation von Mustern

• H. Niemann: Pattern Analysis and Understanding

• S. Theodoridis and K. Koutroumbas: Pattern Recognition, 4th ed., Academic Press, 2009.

Weitere Informationen:

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:

1. Computational Engineering (Rechnergestütztes Ingenieurwesen) (Bachelor of Science)
   (Po-Vers. 2010 | Bachelorprüfung | Technische Wahlmodule | Introduction to Pattern Recognition)

Studien-/Prüfungsleistungen:

Introduction to Pattern Recognition (Prüfungsnummer: 32811)

Prüfungsleistung, mündliche Prüfung, Dauer (in Minuten): 30, benotet

Anteil an der Berechnung der Modulnote: 100.0 %

weitere Erläuterungen:
30-minütige mündliche Prüfung über den Stoff der Vorlesung und der Übungen

Erstablegung: WS 2012/2013, 1. Wdh.: SS 2013, 2. Wdh.: keine Wiederholung

1. Prüfer:

Elli Angelopoulou

Termin: 19.07.2014, 10:00 Uhr, Ort: H 11