1) weighted support vector data description
加权支持向量数据描述
1.
This paper presented a method that used band selection to reduce operation and weighted support vector data description(WSVDD) method to suppress the interferer effectively.
支持向量数据描述(SVDD)方法用于高光谱图像小目标检测时,存在漏检率高和计算量大的问题,本文提出用波段选择方法降低计算量,用样本错误加权支持向量数据描述(WSVDD)方法抑制小目标形状对背景选择的干扰。
2) WSVDD
样本错误加权的支持向量数据描述
3) support vector data description
支持向量数据描述法
1.
The application of support vector data description for the fault prewarning of Power transformer;
支持向量数据描述法在变压器故障预警中的应用
2.
Due to the ART2 network getting dynamic modifying feature curve and accuration of support vector data description,the cleaning model has the function of dynamic cleaning for bad electric data.
电力负荷预测前应首先对负荷数据进行清洗,根据电力日负荷曲线的特征,应用改进的ART-2神经网络准确的提取电力日负荷特征曲线,然后利用支持向量数据描述法对不良数据进行精确定位,最后利用特征曲线对不良数据进行修正。
4) support vector data description(SVDD)
支持向量数据描述
1.
In this paper,a support vector novelty detection algorithm,the support vector data description(SVDD), was adopted to represent known fault class samples,and to detect new fault class samples.
采用一种支持向量异常检测算法,即支持向量数据描述(SVDD),建立已知故障类训练样本的描述模型,并用于检测新的训练中未见的故障类样本。
2.
One-class support vector machine(OCSVM)and support vector data description(SVDD)are two main domain-based one-class(kernel)classifiers.
单类支持向量机和支持向量数据描述是两种流行的基于支撑域的单分类器。
3.
A method of malfunction diagnosis based on Empirical Mode Decomposition(EMD) and Support Vector Data Description(SVDD) is proposed to solve the problem of lacking malfunction smaples in Chongqing light-rail’s cast steel pedestal system diagnosis.
针对重庆轻轨铸钢支座系统故障诊断中缺乏故障样本的问题,提出一种基于经验模态分解(EMD)和支持向量数据描述(SVDD)的故障诊断方法。
5) SVDD
支持向量数据描述
1.
In view of the lack of fault samples,the technique of one-class classification-support vector data description(SVDD) is adopted for abnormal sound detection,in which the normal and abnormal conditions can be distinguished by one-class classifier,set up only on the base of samples in normal conditions.
针对驱动桥异响检测缺乏故障样本的问题,提出了异响检测的单值分类法———支持向量数据描述法(SVDD)。
2.
A c-SVDD algorithm is proposed based on Support Vector Date Description algorithm.
在基于解决单类问题的支持向量数据描述算法基础上提出了基于聚类分布信息的c-SVDD算法。
3.
By employing training examples of target set only, data description is able to obtain description of target set, and SVDD(support vector data description) is an efficient data description scheme.
数据描述只使用目标集训练样本获得关于目标集的描述,支持向量数据描述(SVDD)是一种有效的数据描述方法。
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