Pattern Analysis (PA)

Friedrich-Alexander-Universität Erlangen-Nürnberg
LEVEL
Master
TYPE
Course
MODES
-
LANGUAGE
-
ECTS
50
PERIOD
25/04/2022 to 29/07/2022

Course Description

This lecture complements the lectures Introduction to Pattern Recognition and Pattern Recognition. In this third edition, we focus on analyzing and simplifying feature representations. Major topics of this lecture are density estimation, clustering, manifold learning, hidden Markov models, conditional random fields, and random forests. The lecture is accompanied by exercises, where theoretical results are practically implemented and applied.

Subject area

Digital communications IA electronics

Field area

Digital
Industry and Space

Educational-info

ECTS

50

Maximum number of students

80

Organizer

Partner

Friedrich-Alexander-Universität Erlangen-Nürnberg

Faculty

Faculty of Engineering

Department

Computer Science

Contact or registration links