I don't think this proves a superiority of any algorithm against other. Just that SuperVision team did a great job on task 1 and task 2. I just would add two things: 1) There is a No Free Lunch Theorem (http://en.wikipedia.org/wiki/No_free_lunch_theorem) that had been applied to pattern recognition too and that states that there is not a significative difference in performance between most pattern recognition algorithms.
2) There is way more chance to get an increment on performance depending of the choose of the features being used, and that seems to be the case here.
2) There is way more chance to get an increment on performance depending of the choose of the features being used, and that seems to be the case here.