The algorithm used weighted templates to structure each weak learning classifier, which overcame the shortcoming of structuring classifier by using a single feature.
在该演化算法中,采取训练正反类样本加权模板的方法来构造各个弱学习分类器,克服了常规的基于单一特征构造弱分类器的不足。
The algorithm used weighted templates to structure each weak learning classifier, which overcame the shortcoming of structuring classifier by using a single feature.
在该演化算法中,采取训练正反类样本加权模板的方法来构造各个弱学习分类器,克服了常规的基于单一特征构造弱分类器的不足。
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