The applications for this in the advertising industry are exciting and a tad bit scary.

I can imagine a feedback system that takes the output of this algorithm and modifies the image slightly according to the error gradient to optimize the MEM-score of the brand/item being advertised in the photo. Then it could feed the new image back in and repeat like the Deep-Dreaming algorithm.

side-note: I'm so happy that CSAIL is finally embracing deep learning. I'm an undergrad at mit and this semester was the first that deep learning was a major part of both the computer vision class and the nlp class.