Saturday, May 10, 2008

Compressed Sensing Meets Machine Learning: Classification via Sparse Representation and Distributed Pattern Recognition

This Spring, Allen Yang has given a mini course at Berkeley entitled Compressed Sensing Meets Machine Learning. The three lectures are listed here (it includes accompanying code):
The third lecture is more focused on a very interesting applied subject. I am absolutely sure that it can have some important bearings on similar problems I have covered on in this blog earlier, namely gesture understanding and eye tracking. For certain handicaps the detection is not as important as the continuous quantification of how intervention methods are improving the condition:


Anonymous said...

Is there a good popular science introduction to your field? I am interested but have no formal training in anything you're talking about.

Igor said...


The closest you can find is an article of Wired :

as mentioned earlier: