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Computer Vision Group
Faculty of Informatics
Technical University of Munich

Technical University of Munich

Home Teaching Summer Semester 2013 Machine Learning for Robotics and Computer Vision

Machine Learning for Robotics and Computer Vision

SS 2013, TU München


Location: Room 02.09.023
Date: Friday, starting at 26th April
Time: 9.15
Lecturer: Dr. Rudolph Triebel
SWS: 3


Location: Room 02.09.023
Date: Friday, 3rd May, every other week
Time: 14.15
Lecturer: Jan Stühmer

The course will be held in English.


In this lecture, the students will be introduced into the most frequently used machine learning methods in computer vision and robotics applications. The major aim of the lecture is to obtain a broad overview of existing methods, and to understand their motivations and main ideas in the context of computer vision and pattern recognition. Also, in addition to the standard methods, the lecture will also cover some recent topics such as CRFs, Random Forests, and IVMs.

- Introduction
- Regression
- Probabilistic Graphical Models
- Boosting
- Kernel Methods
- Gaussian Processes
- Evaluation and Model Selection
- Sampling Methods
- Clustering

Lecture Slides

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Informatik IX

Computer Vision Group

Boltzmannstrasse 3
85748 Garching