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Exponential decrease from peak to pre-boosting value based on the boosting period of x years as defined by the parameter set.
Boosting-based approach is considered as any image-based approach that uses the boosting algorithm in the classification stage.
Why, for example, is it acceptable to permit laser surgery to improve an archer's eyesight while the boosting of an athlete's body mass by chemical means is forbidden?
Otherwise, the boosting scheme will not work.
Finally, in Section 3.5, we describe the boosting cascade training.
Here, we employ the boosting technique, specifically, AdaBoost.
These methods train a discriminative classifier under the boosting framework.
DecisionStump (DS) It is an algorithm designed for use with the boosting method.
This confirms that can improve the boosting performance through controlling the weakness of the learners.
This study adopts RDA as a learner in the boosting algorithm.
It uses multi-block local binary pattern features and the boosting algorithm for face detection [9].
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