Suchergebnis: Katalogdaten im Herbstsemester 2017
|Vertiefung in Visual Computing|
|Seminar in Visual Computing|
|252-5051-00L||Advanced Topics in Machine Learning |
Number of participants limited to 40.
|W||2 KP||2S||J. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch|
|Kurzbeschreibung||In this seminar, recent papers of the pattern recognition and machine learning literature are presented and discussed. Possible topics cover statistical models in computer vision, graphical models and machine learning.|
|Lernziel||The seminar "Advanced Topics in Machine Learning" familiarizes students with recent developments in pattern recognition and machine learning. Original articles have to be presented and critically reviewed. The students will learn how to structure a scientific presentation in English which covers the key ideas of a scientific paper. An important goal of the seminar presentation is to summarize the essential ideas of the paper in sufficient depth while omitting details which are not essential for the understanding of the work. The presentation style will play an important role and should reach the level of professional scientific presentations.|
|Inhalt||The seminar will cover a number of recent papers which have emerged as important contributions to the pattern recognition and machine learning literature. The topics will vary from year to year but they are centered on methodological issues in machine learning like new learning algorithms, ensemble methods or new statistical models for machine learning applications. Frequently, papers are selected from computer vision or bioinformatics - two fields, which relies more and more on machine learning methodology and statistical models.|
|Literatur||The papers will be presented in the first session of the seminar.|
|252-5701-00L||Advanced Topics in Computer Graphics and Vision |
Maximale Teilnehmerzahl: 24
|W||2 KP||2S||M. Gross, O. Sorkine Hornung|
|Kurzbeschreibung||This seminar covers advanced topics in computer graphics, such as modeling, rendering, animation, real-time graphics, physical simulation, and computational photography. Each time the course is offered, a collection of research papers is selected and each student presents one paper to the class and leads a discussion about the paper and related topics.|
|Lernziel||The goal is to get an in-depth understanding of actual problems and research topics in the field of computer graphics as well as improve presentations and critical analysis skills.|
|Inhalt||This seminar covers advanced topics in computer graphics,|
including both seminal research papers as well as the latest
research results. Each time the course is offered, a collection of
research papers are selected covering topics such as modeling,
rendering, animation, real-time graphics, physical simulation, and
computational photography. Each student presents one paper to the
class and leads a discussion about the paper and related topics.
All students read the papers and participate in the discussion.
|Literatur||Individual research papers are selected each term. See http://graphics.ethz.ch/ for the current list.|
|Voraussetzungen / Besonderes||Prerequisites: |
The courses "Computer Graphics I and II" (GDV I & II) are recommended, but not mandatory.
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