因此为了降低帧内预测模式选择的计算复杂度，本文改进了帧内预测模式选择算法。

In order to reduce the complexity, this paper proposes a fast arithmetic for intra-prediction mode selection.

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设计模式包含用于选择单个数据挖掘模型和输入表的图形设计图面，同时还包含用于指定预测查询的网格。

Design mode includes a graphical design surface used for selecting a single data mining model and input table, and a grid used for specifying the prediction query.

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然后根据复杂度冗余的大小，选择更多的预测模式进行处理，实现复杂度的精细分级。

And then, according to the redundancy of complexity, more prediction modes are chosen to be processed, which achieve refined scalability of complexity.

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