In this paper, a novel feature extraction method based on scatter difference criterion in hidden space is developed.

本文提出了一种新的非线性特征抽取方法——基于散度差准则的隐空间特征抽取方法。

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During the solving course of hidden space support vector machine, this paper introduces the Particle Swarm Optimize Algorithms.

在隐空间中支持向量机求解过程中，引入改进粒子群算法用于搜索空间的迭代。

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If the configuration starts out to the right of the last peak, the ball will roll off to infinity, and the size of the hidden space will increase without bound (it will cease to be hidden).

假如组态起始于最后一个坡顶的右侧，球将会滚到无穷远处，而此隐藏空间的大小将会无止境地增加(将停止隐藏)。

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If the configuration starts out to the right of the last peak, the ball will roll off to infinity, and the size of the hidden space will increase without bound (it will cease to be hidden).

假如组态起始于最后一个坡顶的右侧，球将会滚到无穷远处，而此隐藏空间的大小将会无止境地增加(将停止隐藏)。

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