Thanks! It randomly projects to a lower dimensional space (contrary to the reservoir computing methods I mentioned). That's indeed one of the standard ways to

Thanks! It randomly projects to a lower dimensional space (contrary to the reservoir computing methods I mentioned). That's indeed one of the standard ways to do dimension reduction. What looks new to me is to use random weights in a sliding window and by combining FAST features. It introduces computer vision structure to random projections in such a way. Interesting!