I thought this was going to be about data preprocessing or domain transformation. The article does touch upon it. For instance, you can boost your image classifier by normalizing your images with simple statistics. Ironically, since neural networks are very good at finding basic (but non-trivial) feature correlations, the reverse is also true: for instance, you can boost your SVG classifier by adding to it the feature responses of a CNN pre-trained on Imagenet.