Hey there,
I was trying to train a cascade classifier using traincascade. I used 2 different machines training on the same data with same parameters, but I seem to get different results. Since in my understanding there is no randomness to training/boosting the cascade, I wondered how i got these results?
Can anyone explain this? Or is there some kind of nondeterminism in the training process? Then I would be happy to get some deeper explanations.