We have a paper accepted at ICIP next september. This is the work Romain Negrel has beeing doing on trying to reduce the size of our VLAT features using some kernel based dimensionality reduction techniques. We focused on search by similarity, and it happened to give very comparable results for large scale benchmarks.

I hope to release some code on this very soon. At least you can check this page

I'll bee in Brugge next week for the ESANN conference.