We often use high-dimension feature vectors to achieve this goal, however, the large amount computation will make exhaustive retrieval infeasible.

三维模型的特征一般用高维的特征向量表示，但是这会带来更多的计算量，从而使耗尽型搜索变得不可行。

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Realizes high, dimension data feature extraction algorithm by using debasing dimension of data.

实现了基于数据降维的高维数据特征提取算法。

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Reducing the high dimension of feature vectors is an essential part of text categorization.

对高维的特征集进行降维是文本分类过程中的一个重要环节。

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