Summer School 2009
Photo by Böhringer
Our DFG-sponsored PhD program at the University of Konstanz conducts a weeklong
- Summerschool "Explorative Analysis and Visualization of Large Information Spaces"
- 14. September - 18. September 2009
- Gaschurn, Montafon, Austria
The summerschool contains tutorials and workshops on
- data mining
- image processing
This year the summerschool is also open for interested female computer science students from all other universities, see below.
View some images
date
- 14. September - 18. September 2009
- For information on the travel to Gaschurn see Monday, Sep 14, on our time schedule.
location
- Gaschurn, Austria
- Sporthotel Silvretta Nova
special opportunity only for female advanced students in computer science
This year our funding agency, the DFG, supports our program with funding specifically for advanced female master or diploma students in computer science, in order to encourage young women to consider a career in engineering by entering a PhD program like ours. Our funds will cover- travel costs,
- accommodation,
- food (full board)
Therefore we invite the best and interested female students, that are advanced or have a completed CS master degree of 2009, to apply for participation at our summerschool this year. If you like to participate, please send us your application as a PDF to gksekr[at]uni-konstanz.de covering the following topics:
- Your bachelor/prediploma degree certificates OR your master/diploma degree certificates and the transcripts reflecting courses taken and grades achieved,
- your curriculum vitae,
- an abstract of your master thesis including name of your advisor OR your field of interest for planned master thesis.
- Applications are accepted until no places are left.
The following students took advantage of this opportunity:
from left to right: Denise Hippler, Marina Litvinova, Anna Zubenko, Dina R. Khattab, Joselene Marques,
Emitza Guzman, Stefanie Mayer, Katarina Kanevceva, Gissel Velarde, and in the middle Prof. Dr. Deussen
not on the picture: Angelika Garz, Britta Weber
flyer "Invitation to summer school"
Flyer containg an overview of the informations as PDF.tutorials
-
Kernel Methods for Classification: From Theory to Practice
- Prof. Dr. Michael Berthold
- Prof. Dr. Ulrik Brandes
- Martin Mader
- Uwe Nagel
-
3D Scan and Image Processing Techniques
- Prof. Dr. Robert Sablatnig
- Dr. Martin Kampel
tutorial descriptions
Kernel Methods for Classification: From Theory to Practice
by Prof. Dr. Michael Berthold, Prof. Dr. Ulrik Brandes, Martin Mader, Uwe Nagel-
We will introduce the well-known kernel methods for classification tasks.
With this method linear classification methods are extended to separate
input data with non-linear separators based on nearly arbitrary object
similarities.
In a first part we give a short introduction to kernel theory and its
use in classification problem.
This theoretical knowledge will then be consolidated by direct
application in the second part.
In a hands-on session we will experiment with different types of kernels
for a number of classification problems
(in a state of the art data-mining environment).
Interested attendees will have the opportunity to develop their own
kernel(s) in a competition on a given classification task.
Winners of the Competition
from left to right: Andreas Stoffel, Denise Hippler, Roman Byshko
3D Scan and Image Processing Techniques
by Prof. Dr. Robert Sablatnig, Dr. Martin Kampel-
This tutorial shows how image processing algorithms are used for practical, industrial applications. Basic algorithms and techniques are discussed and some of the major tasks of are shown. Image processing operations can be roughly divided into three major categories, Image Compression, Image Enhancement and Restoration, and Measurement Extraction.
-
The second major topic of this tutorial is called 3d machine vision. 3D scanners and image acquisition systems are rapidly becoming more affordable and allow to build highly accurate models of real 3D objects in a cost- and time-effective manner. This tutorial will present the potential of this technology, review the state of the art in model acquisition methods, and will discuss the 3D acquisition pipeline from physical acquisition until the final digital model. First, different optical scanning techniques (e.g. structured light triangulation, time-of-flight approaches) will briefly be presented. In the area of registration, we will consider both the problems of initially aligning individual scans, and of refining this alignment with variations of the Iterative Closest Point method. We will then look at various ways in which surface properties such as color and reflectance can be extracted from acquired imagery. Finally, we will examine techniques for the efficient management and rendering of very large, attribute-rich meshes, algorithms to represent the 3d-world in the computer are presented.
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Furthermore for every image processing and 3d-acquisition strategy an industrial application is shown. The tutorial covers the development from the automatisation plan to the concrete system, from image acquisition to control structures and performance evaluation.
postersession by invited students
- Texture based document layout analysis of glagolitic manuscripts
- Angelika Garz, TU Vienna, Austria
- Virtual News Presenter
- Denise Hippler, State University of Campinas, Brazil, and WSI/GRIS University of Tübingen, Germany
- High-Resolution mapping of the structural core of human cerebral cortex
- Katarina Kanevceva, University Ss. Cyril and Methodius, Macedonia
- Geometry compression of polygon mesh models
- Dina R. Khattab, Ain Shams University, Egypt
- Integrated network systems in a town
- Marina Litvinova, Kharkov National University of Radioelectronic, Ukraine
- Dimensionality reduction and relevance feedback: Powerful techniques on CBIR systems
- Joselene Marques, University of Sao Paulo, Brazil
- Anaglyph stereo for the realtime synthesis of images
- Stefanie Mayer, Eberhard-Karls-Universität Tübingen, Germany
- Enabling physical reasoning through 3D simulation
- Emitza Guzman Ortega, TU Munich, Germany
- Segmentation of microtubules from electron tomograms
- Britta Weber, Free University Berlin, Germany
- Database parameter optimization for welding machines
- Gissel Velarde, Electrical R&D Department, Miebach GmbH
- Application of tabu search to solving problems of non-linear programming
- Anna Zubenko, Kyiv School of Economics, Ukraine
best poster awards
Denise Hippler, Britta Weber, Joselene Marquespresentations
- Assessment of observation importance in large scale estimation problem
- by Vladimir Bondarenko
- Mathematical models for race-bike time trials
- by Thorsten Dahmen
- Blended library
- by Mathias Heilig
- Multi display environment
- by Mahsa Jenabi
- PDScan - "Photo Data Scan" density-based clustering algorithm and its applications
- by Slava Kisilévich
- Dynamic visualization of evolving document collections
- by Miloš Krstajić
- Frequency-based stippling
- by Sören Pirk
- Content based document structure analysis
- by Andreas Stoffel
- Document cards: A top trump visualization for documents
- by Hendrik Strobelt
- Quasi-semantic properties and their usage in document analysis
- by Daniela Oelke
- Connecting insect brain imaging to data mining tools - a neuroimage ectension for the KNIME platform
- by Martin Strauch
- Visualization of a tag cloud
- by Iris Adä
- Sparse color salient points for object retrieval and categorization
- by Julian Stöttinger
- Integrating data mining & data warehousing/databases
- by Nafees Rehman