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:
Mornings:
- Machine learning I - "What we may know" (Irena Váňová, Babak Mahdian, Jiří Sedlář)
Evaluation of clasifiers, SVM, kernels, soft margins ...
combining clasifiers, boosting - Adam Haiduk
- Machine learning II - "What we may not know" (-"-)
Machine learning in image processing (denosing, super-resolution)
Relation of k-means and PCA - Tomáš Suk
- Discrete optimization in MRFs (graph cuts, belief propagation algorithms etc.) - Michal Šorel
- 1-2x continuous optimization (probably about minimization of non-differentiable functionals,
convex constraints and what it is good for) - Filip Šroubek and Jan Kamenický
Evenings:
- Sparse representations and compressed sensing - Barbara Zitová
- Affine invariant and covariant features (SIFT, MSER and alternatives) - Mirek Beneš
- Short 10-minute talks on various topics mainly by participants giving no tutorials
- + 1 tutorial of the Department of Biomedical Engineering
