• To mitigate the problem, standardize all the features and put them on equal footing as a preprocessing step.

    为了缓解这个问题,标准化所有特征并将它们置于平等地位,作为一个预处理步骤。

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  • Background subtraction technique has been widely used in many vision systems as a preprocessing step for object detecting and tracking.

    背景差异抠图算法在许多视觉系统中因被用作物体跟踪、检测的预处理步骤而被广泛使用。

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  • Feature selection is frequently used as a preprocessing step to text classification, which is effective in reducing dimensionality and increasing classification accuracy.

    特征选择是文档分类中常见的预处理工作,通过对文档特征空间降维,可以提高文档的分类性能。

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  • The text chunking, as a preprocessing step for parsing, is to divide text into syntactically related non-overlapping groups of words (chunks), reducing the complexity of the ful.

    文本组块分析作为句法分析的预处理阶段,通过将文本划分成一组互不重叠的片断,来达到降低句法分析的难度。

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  • The text chunking, as a preprocessing step for parsing, is to divide text into syntactically related non-overlapping groups of words (chunks), reducing the complexity of the full parsing.

    文本组块分析作为句法分析的预处理阶段,通过将文本划分成一组互不重叠的片断,来达到降低句法分析的难度。

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  • Data preprocessing is a critical step in the data mining as a whole process and it has vital impact on the success of a data mining project.

    数据预处理在数据挖掘项目中有着举足轻重的作用,是数据挖掘整个过程的关键步骤之一。

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  • The second step (recognition) is achieved by using a holographic nearest-neighbor algorithm (HNN), in which vectors obtained in the preprocessing step are used as inputs to it .

    第二步,识别阶段,采用了一种亲笔最近相邻算法(HNN)。首先自学习预处理得到的数据,并得到对象的总的特征。再通过HNN算法来识别对象。

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  • The second step (recognition) is achieved by using a holographic nearest-neighbor algorithm (HNN), in which vectors obtained in the preprocessing step are used as inputs to it .

    第二步,识别阶段,采用了一种亲笔最近相邻算法(HNN)。首先自学习预处理得到的数据,并得到对象的总的特征。再通过HNN算法来识别对象。

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