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Training Neumann Matas classifiers

I'm trying to train the classifiers in the scene text detection (http://docs.opencv.org/trunk/modules/objdetect/doc/erfilter.html) on my own training sets instead of using the default classifiers: trained_classifierNM1.xml and trained_classifierNM2.xml. Any guidance on how to do so would be greatly appreciated. There doesn't seem to be any mention of training on the docs page (or in the code).

I looked at other examples on the web for training classifiers in open CV (http://note.sonots.com/SciSoftware/haartraining.html), and I think where I'm stumbling is on how to define the weak classifiers. Any help or pointers would be greatly appreciated.