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Maybe you should check the size or number of your negatives. I'm not really sure about the haartraining (it is deprecated and the traincascade is more advanced), but if it works like the traincascade, than the number of the negatives doesn't mean too much. Suppose only one big negative (say 480 * 110) then it contains one hundred times more data than one of your positives. That could slow greatly the procedure.
