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TUM Department of Informatics
Technical University of Munich

Technical University of Munich

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More


Current Trends in Machine Learning

WS 2014/15, TU München

Seminar

Location: Room 00.09.023
Date: Wednesday, First meeting 8.10.2014, Presentations starting on 07.01.2014
Time: 14:00 - 16:00
Lecturer: Rudolph Triebel, Vladyslav Usenko, Caner Hazirbas
ECTS: 4
SWS: 2

The course will be held in English. The students can do their presentation in German, but English is preferred.

Inhalt

Maschinelles Lernen bezeichnet Methoden um Muster unter Nutzung von Vorwissen in strukturierten Daten aufzufinden. In diesem Seminar werden aktuelle Themen anhand von Konferenzbeiträgen aus dem Bereich Maschinelles Lernen behandelt. Dazu gehören Anwendungen in der Robotik, der Signalverarbeitung (z. B. blinde Quellentrennung), Empfehlungsdienste (Recommender Systems) und sich zeitlich verändernde Daten. Jeder Student wählt eine wissenschaftliche Veröffentlichung, die er im Seminar präsentiert.

Teilnehmerzahl: 12 Studenten (Master).
Registrierung: per e-Mail an Rudolph Triebel und unter TUM online (IN2107).

Description Machine Learning studies computational methods that find patterns in structured data. In this seminar we will discuss current trends in machine learning based on research articles, including applications in robotics, signal processing (e.g. blind source separation), recommender systems and time varying data. Every student picks a recent research paper on machine learning that he presents in the seminar.

Attendance is limited to 12 students (Master).
Registration: send email to Rudolph Triebel and on TUM online (IN2107).

Important Dates
First Meeting Room 02.09.023, 14:00 - 16:00 8.10.2014 - fixed assignment of topic and date. These are the slides of last year. The topics will be different, but the procedure will be the same.
SeminarRoom 02.09.23, 14:00 - 16:00 7.01.2015, 14.01.2015, 21.01.2015, 28.01.2015
Final Report27.02.2015


Useful Documents

The initial presentation with the relevant information is available here

A LaTeX-template for your seminar report is available for download here.

Paper Assigments
PaperSupervisorStudentPresentation date

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More