Their feature analysis process is interesting. I gather that the decisions about what category of feature to offer the classifiers at each level was largely done by hand. I wonder whether some of that process can be generalized and automated. For example, maybe good combination features can be discovered by examining the shape of their joint histograms to see how bimodal they are.

I didn't understand their modulus of derivative feature, though. What is that?