Grassmann Averages for Scalable Robust PCA Tutorial
Channel: Søren Hauberg
Date: 2014-04-28

This video contains a brief sketch of how to compute Robust PCA using Grassmann Averages. The main idea is to phrase subspace estimation via the average subspace spanned by the data. This can then be made robust by considering robust averages. The resulting algorithm is both fast and scalable.

Further information is available in the paper: http://files.is.tue.mpg.de/shauberg/papers/CVPR_2014/Hauberg_CVPR_2014.pdf and at the project website: http://ps.is.tue.mpg.de/project/Robust_PCA