在某一分辨级水平上进行曲线形状的相似性查询和度量，同时，对于局部相似性的局部维数曲线进行匹配。
Similarity of the basic curve figures is queried and measured at some resolution ratio level, in the meantime, the fractal dimension in local similarity is matched.
在软测量建模过程中，基于支持向量机的算法能较好地解决小样本、非线性、高维数、局部极小点等问题。
In model establishment of soft-sensing, the problems of small sample, non-linearity, high dimensions and local minimal value can be well solved by support vector machine algorithm.
非负矩阵分解过程中，适当地选取特征空间的维数能够获得原始数据的局部特征。
The local feature based representation could be obtained by choosing suitable dimension of the feature subspace in NMF.
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