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Cascade Classifier Training: Is the negNum decreasing each stage?

Hello guy,

Does the second stage train with the exact same training samples as the first stage or just with 0.5x of the negative samples (maxFalseAlarmRate = 0.5). The 0.5 neg sampels which were classified false?

If yes: Why does the second stage needs more features to separate the data?

If no: Is the amount of negative samples decreasing each stage by 0.5? After 20 stages there would be nearly no samples?

I hope the question is understandable,

Thanks a lot for your help!!!

Kind regards,

Derrick