Feature space is high dimensional and sparse in text categorization, the process of dimension reduction is a very key problem for large-scale text categorization.
文本分类中特征向量空间是高维和稀疏的，降维处理是分类的关键步骤。
It's dimension is large, and requirements of accuracy, tolerance and roughness are very strict. It is different from conventional large UHV chamber.
该机加真空室的尺寸大，尺寸精度、形位公差及粗糙度要求极高，不同于常规的大型超高真空室。
It's dimension is large, and requirements of accuracy, tolerance and roughness are very strict. It is different from conventional large UHV chamber.
该机加真空室的尺寸大，尺寸精度、形位公差及粗糙度要求极高，不同于常规的大型超高真空室。
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