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.
介绍GZB—90系列组合模板的概况、构造特征与工程应用等情况。
The general conditions, features and applications of GZB-90 light type high strength formwork system have been introduced here.
对检测到的候选印章子图和模板印章计算FFT变换的幅度谱图像，进而构造对应于楔环结构的幅度谱特征矩阵。
The magnitude FFT feature matrixes were constructed separately for the template seal and the candidate detected seal.
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