Spring School of Image Processing 2009 | Department of Image Processing

30.5. - 5.6. 2009, Krušné hory, Mariánská (Jáchymov)

The program of the 5th edition of the Spring School of Image Processing will consist mainly of tutorial talks given by organizers from the Department of Image Processing (ÚTIA) and participating Ph.D. students:

	Morning	Evening
sa (so)	-------------------------	Jiří Boldyš - CV and image processing applications in automotive industry
su (ne)	Level sets I Filip Šroubek - Level sets algorithms and variational calculus	Level sets II Jan Kamenický
mo (po)	Machine learning I Jiří Sedlář - Introduction to machine learning Babak Mahdian - SVM, kernels, soft margins	Point and region detectors Miroslav Beneš - Invariant and covariant features (SIFT, MSER and alternatives)
tu (út)	Machine learning II Adam Haiduk - Combining classifiers, boosting Tomáš Suk - Connections of k-means algorithm and PCA	fMRI Jiří Gazárek, Martin Havlíček - ICA in fMRI
we (st)	Machine learning III Irena Váňová - Pursuit algorithms, applications of ML in image processing	Perfusion imaging Radovan Jiřík - Modelování a analýza signálu v perfuzním zobrazení
th (čt)	MRFs Michal Šorel - Discrete optimization in MRFs using graphs cuts
fr (pá)	Compressed sensing Barbara Zitová - Sparse reprezentation and compressed sensing	----------------------

Best presentation contest

Filip Šroubek (wins Logitech Presenter)
Michal Šorel
Irena Váňová

If you have any questions or comments, contact Michal