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1)  class variance
类别方差
1.
Firstly,based on the Otsu′ single threshold segmentation method,a double-threshold segmentation method founded on class variance was proposed.
结合Otsu单阈值图像分割算法,提出了一种基于类别方差的双阈值分割算法。
2)  the cass variance method
类别方差法
3)  maximum classification square error method
最大类别方差法
1.
Experiments are made to compare the improved method with the traditional maximum classification square error method and the simple genetic algorithm.
并以最大类别方差法为例,将改进的遗传算法应用到图像的单阈值分割中。
4)  uneven class sizes
类别差异
1.
Since proximal support vector machine(PSVM) is susceptible to uneven class sizes and is sensitive to outliers and noises in the training set,a robust PSVM was proposed.
标准近似支持向量机受类别差异影响和噪声、野值数据干扰较重,使得分类能力不高。
2.
When training sets with uneven class sizes are used,the classification error based on C-Support Vector Machine is undesirably biased towards the class with fewer samples in the training set.
针对这两种问题,分析了产生的原因,提出了一种加权支持向量机算法,补偿了类别差异造成的不利影响,加快了重复样本的决策速度。
3.
When training sets with uneven class sizes were used,the classification error based on traditional hyper-sphere support vector machine was undesirably biased towards the class with fewer samples in the training set.
该算法综合文档内容信息和超链接信息作为文档特征向量,针对传统超球支持向量机算法在不同类别样本数目不均衡时训练分类错误倾向于样本数目小的类别的问题,利用加权因子补偿了类别差异对算法推广性能造成的不利影响。
5)  variance identification
方差鉴别
6)  primary difference
第一差别类
补充资料:工业行业类别

工业行业类别:国家 1994 年制定的《国民经济行业分类与代码》( GB /T4754 - 94 ),将现行的%26#8220;工业%26#8221;门类调整为%26#8220;采掘业%26#8221;%26#8220;制造业%26#8221;和%26#8220;电力、煤气和水的生产和供应业%26#8221;三个门类。依据产业活动单位其经济活动性质的同一性进行分类,即按企业生产的产品经济用途、使用的原材料、生产工艺性质来划分,而不是按其所属行政管理系统分类。

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