For the angular radial partitioning paper: wouldn't using SIFT and others already solve this problem? Although, it seems that this method performs very fast. It would be nice to see this work on non-contrived data.

For the Face Recognition: it seems to me that this LEM is inherently only using shape/structure as features. While it performs extremely well (relatively), would it help even more to include other features as well?