他匆忙往奶奶家赶。暴风雨太大，树都倒了，但是这并不能阻止他。

D. He hurries back to Grandma's house. The storm is too big. Trees are falling down. But it can't stop him.

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本文在分析了两类方法的优缺点后，提出了将特征驱动的方法(K - D森林)引入词汇树模型的混合模型。

The thesis analyzes the advantages and drawbacks of the two kinds of algorithms and proposes a mixture model which introduces the feature driven methods (K-D Forest) into vocabulary tree.

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实验结果表明D- S决策树分类算法能有效的对不确定数据进行分类。

This D-S decision tree is a new classification method adapted to the uncertain data.

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