This course will introduce various techniques for probabilistic state estimation and discuss their application to problems such as robot localization, mapping, and human activity recognition. The course will also provide a problem-oriented introduction to relevant machine learning techniques, including boosting and conditional random fields.
The class meets TTh 12:00-1:20 in EE1
026.
See you there,
Dieter Fox