Differences
This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
teaching:ss2019:pgm2019 [2019/05/26 01:17] wuta |
teaching:ss2019:pgm2019 [2019/07/01 19:21] wuta |
||
---|---|---|---|
Line 1: | Line 1: | ||
====== Probabilistic Graphical Models in Computer Vision (IN2329) (2h + 2h, 5 ECTS) ====== | ====== Probabilistic Graphical Models in Computer Vision (IN2329) (2h + 2h, 5 ECTS) ====== | ||
< | < | ||
- | <b> Announcement: | + | <b> Announcement: |
+ | The lecture on 22.07 will be on deep Boltzmann machines presented by [[: | ||
+ | There will be NO tutorial on Wednesday, 12.06.2019. Sheet5 should be submitted on 17.06.< | ||
There will be NO lecture on Wednesday, 24.04.2019. | There will be NO lecture on Wednesday, 24.04.2019. | ||
- | </b> | ||
</ | </ | ||
Line 35: | Line 36: | ||
- Approximative inference techniques: | - Approximative inference techniques: | ||
- | * Loopy belief propagation, message passing | + | * Loopy belief propagation |
* Mean field, variational inference | * Mean field, variational inference | ||
* Sampling methods | * Sampling methods |