2．3．5特征校正（Feature Warping） 特征校正（或称为特征扭曲）是通过特定的映射规则将特征映射到一个比较理想 的分布上去【10I，这样可以减小不同的信道和噪声对特...
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特征参数和相似分类方法是一种新的基体效应校正方法。 。
The characteristic parameter and similarity classification is a new method for correcting the matrix effect.
具体包括草图前处理、特征点的检测、笔划分段、图元识别、图元重构、图元规整、端点校正等内容。
The system integrates several process like sketch preprocessing, feature points detection, strokes fragment, primitives recognition, shape reconstruction, and primitives beautification.
由于实际测量数据具有非线性特征，加上校正样本集合的有限性，使得解决小样本条件下非线性关系的模型传递问题显得尤为重要。
Because of nonlinear effect and small calibration sample set in fact, it is important to solve the problem of model transfer under the condition of nonlinear effect in evidence and small sample set.
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