From 2 November 2020, the autumn semester 2020 will take place online. Exceptions: Courses that can only be carried out with on-site presence.
Please note the information provided by the lecturers via e-mail.

Stefan Bauer: Catalogue data in Autumn Semester 2018

Name Dr. Stefan Bauer
Address
Inst. for Machine Learning
ETH Zurich, CAB E65.1
Universitätstrasse 6
8092 Zürich
SWITZERLAND
E-mailstefan.bauer@inf.ethz.ch
DepartmentComputer Science
RelationshipLecturer

NumberTitleECTSHoursLecturers
252-0527-00LProbabilistic Graphical Models for Image Analysis Information 4 credits3GS. Bauer
AbstractThis course will focus on the algorithms for inference and learning with statistical models. We use a framework called probabilistic graphical models which include Bayesian Networks and Markov Random Fields.

We will use examples from traditional vision problems such as image registration and image segmentation, as well as recent problems such as object recognition.
ObjectiveStudents will be introduced to probablistic graphical models and will learn how to apply them to problems in image analysis and understanding. The focus will be to study various algorithms for inference and parameter learning.
LiteratureWill be announced during the lecture.