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Table 2 CoLBP detector cascade of classifiers training stages.
Therefore, is used to train the cascade of classifiers.
The cascade of classifiers [3] and GentleBoost algorithm [24] are used to train the CoLBP detector.
The CoLBP detector is trained using the GentleBoost algorithm [24] and cascade of classifiers [3].
The CoLBP features are used to train a face detector using the cascade of classifiers technique in [3].
The nonface dateset is depleted since the bootstrap strategy is used in training the cascade of classifiers.
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Apart from that, boosted cascades of classifiers usually outperform most monolithic approaches (Lienhart et al. 2003).
The algorithm is applied to ensemble-based learning by using boosting to construct cascades of classifiers.
This classifier is a cascade of boosted classifiers.
In the classification stage, a cascade of supervised classifiers has been used.
Finally, a cascade of LML classifiers is constructed to promote detection speed.
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