Tutorials collections

4. Supervised learning, SVMs, kernel methods, Francis Bach
5. Instance-level recognition (part 1), Cordelia Schmid
6. Instance-level recognition (part 2), Josef Sivic
7. Large-scale visual search (part 1), Josef Sivic
8. Large-scale visual search (part 2), Cordelia Schmid

9. Bag-of-Features models for category-level classification, Cordelia Schmid
10. Sparse coding and dictionary learning for image analysis, Jean Ponce
11. Category-level localization, Andrew Zisserman

12. Learning with structured inputs and outputs, Christoph Lampert
13. Large-scale learning, Zaid Harchaoui
14. More words and bigger pictures, David Forsyth

15. Human actions (part 1), Ivan Laptev
16. Human actions (part 2), David Forsyth
17. Human pose estimation, Deva Ramanan
18. Geometry for recognition and scene analysis, Martial Hebert

19. Human vision, Aude Olivia
20. Large scale recognition / Context / many categories, Antonio Torralba
21. Big data, Alyosha Efros