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    本代码将用极端随机森林(Extremely Random Forests, ERF)来训练图像分类器。一个目标识 别系统就是利用图像分类器将图像分到已知的类别中。 ERF在机器学习领域非常流行,因为ERF 具有较快的速度和比较精确的准确度。我们基于图像的特征构建一组决策树,并通过训练这个森 林 实 现 正 确 决 策 。

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