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cascade training negative dataset

asked 2016-06-22 13:31:14 -0500

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Hello,we all know when training a cascaded classifier your negative dataset shouldn't contain the object which you are trying to detect.My question is;what if a single image that contains your object gets overlooked and inserted into the negative dataset?How bad it would distort the final strong classifier?

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answered 2016-06-27 03:06:24 -0500

It would not, because that single feature yielding sample will be treated as an outlier during the adaBoost process.

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I thought so.

can gravatar imagecan ( 2016-06-27 03:11:58 -0500 )edit

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Asked: 2016-06-22 13:31:14 -0500

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Last updated: Jun 22 '16