Advanced Topics in Computer Vision and Machine Learning

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Advanced Topics in Computer Vision and Machine Learning

Summer Semester 2017

This seminar covers advanced topics in computer vision and statistical machine learning based on recent research publications. Exemplary topics include object recognition, scene understanding, video analysis, tracking, image modeling, image restoration, vision in robotics & driver assistance, graphical models, deep learning, feature learning, semi-supervised learning, and optimization in vision & learning.

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Module no. 20-00-0645-se
Event type seminar (S2, 3CP, 2SWS), elective
Being taught irregularly, usually summer semesters
Time Mondays, 15:20 – 17:00
First class 24.04.2017
Location S2|02, room C120
Lecturer Prof. Stefan Roth, Ph.D.
Assistants TBA


Learning goals

Degree courses



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