Pattern Recognition and
Image Processing Group
Institute of Visual Computing and Human-Centered Technology
PRIP Fakultät für Informatik, TU Wien Technische Universität Wien Fakultät für Informatik

Introduction to Pattern Recognition

VO 186.844
For schedule & exams see TISS
Lecturer: Jiri Hladuvka
Introduction (Vorbesprechung): 01.10.2018, 15:00, EI 10 Fritz Paschke HS

Aim of course

This lecture teaches the basics in pattern recognition and gives an overview of the most important methods. Its focus lies on the analysis of images, i.e. extraction and processing of features, and classification of the extracted data. The corresponding exercise (186.840) deepens the understanding of the topics of the lecture.

Subject of course

Feature extraction, basics of probability theory (conditional probabilities, marginal distributions, independence, covariance matrices, etc.), Bayes theorem, simple classifiers (kNN, nearest neighbor, persceptron, etc.), ...


For students registered in TISS a TUWEL course provides the slides of the lecture, additional material, etc.
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