discriminant criterion

Discriminant criterion for choosing infective force functions of modified simple catalytic model

改进简单催化模型中感染力函数的判别准则

Fuzzy Maximum Scatter Difference Discriminant Criterion Based Clustering Algorithm

基于模糊最大散度差判别准则的聚类方法

Adaptive Classification Algorithm Based on Maximum Scatter Difference Discriminant Criterion

基于最大散度差鉴别准则的自适应分类算法

Based on structural total energy , a practical discriminant criterion for structural dynamic instability is proposed .

本文提出了一种基于总能量的结构动力失稳实用判别准则。

LDA is based on the optimum of Fisher discriminant criterion .

Fisher最佳鉴别分析建立在对Fisher最佳鉴别准则的最优化基础上。

An Approved Fisher Discriminant Criterion Function and Its Corresponding Optimal Set of Discriminant Vectors

一种变形Fisher判别准则函数及最优判别向量集

Speaker recognition based on Fisher discriminant criterion

一种基于Fisher准则的说话人识别方法研究

That is to say , the Pseudo-inverse Linear Discriminant Criterion is a general solution to the small sample size problem .

这也进一步证明伪逆的线性判别标准是一种广义的解决小样本问题的方案。

Besides , this paper reveals the relation between the maximum scatter difference discriminant criterion and Fisher criterion for feature extraction .

另外，还揭示了最大散度差鉴别准则与Fisher准则的内在关系。

The Fisher discriminant criterion is employed to determine prediction variables that are very sensitive to contact performance degradation of space relays .

本文采用Fisher判别准则确定了航天继电器的接触性能退化敏感预测变量。

Secondly , we use multivariate distance-distinguish setting up the discriminant criterion of enterprise credit rating to grade the enterprise 's credit level .

其次，运用多总体距离判别方法建立了企业信用等级的判别规则。

Based on the generalized Fisher linear discriminant criterion , this problem is solved by combining projection transform , isomorphic mapping and compressed transform .

该文基于广义的Fisher线性判别准则，将投影变换、同构变换和压缩变换相结合，解决了这个问题，完善了小样本情况下线性鉴别分析理论。

The sequential quadratic programming ( SQP ) method is adopted to solve the linear ( Fisher ) discriminant criterion model in the pattern recognition field .

该文采用序列二次规划（SQP）方法求解Fisher鉴别准则模型。

Fisher discriminant criterion can be used for feature selection . The classification results show that Fisher discriminant criterion combination of feature extraction has a better performance than alone .

Fisher线性判别准则可用来进行特征选择，和特征提取结合起来获取特征向量，研究结果表明特征提取和Fisher准则相结合的方法比单独使用特征提取在分类准确率和分类时间上有较好的效果。

A multi-class support vector machine ( SVM ) classifier is designed to classify space objects based on the selected central moments features by using Fisher linear discriminant criterion .

文中首先提取中心矩作为特征向量，再采用Fisher判据进一步进行特征压缩，最后利用支撑矢量机（SVM）分类算法实现识别。

Different from LDA , the method adopts the difference of between-class scatter and within-class scatter as discriminant criterion rather than the ratio of them .

与LDA方法不同的是，该方法利用样本模式的类间散布与类内散布之差而不是它们的比作为鉴别准则，这样，从根本上避免了类内散布矩阵奇异带来的困难。

Fisher optimal discriminant criterion is an efficient method to extract classifying information of high dimensional patterns . The key of the method is how to calculate the optimal discriminant vectors .

Fisher最佳鉴别准则是高维模式分析中的有效方法，其关键是求解最佳鉴别矢量。

In this framework , first of all , based on generalized canonical correlation discriminant criterion , solve the generalized projective vectors of the two groups of feature vectors to compose transformation matrix .

在该框架下，首先利用广义的典型相关判据准则函数，求取两组特征矢量的广义投影矢量集，构成一对变换矩阵；

It is more important that due to adoption of the scatter difference as the discriminant criterion for feature extraction , the proposed method essentially avoids the small size samples problem usually occured in the traditional Fisher linear discriminant analysis .

更为重要的是，由于采用了散度差作为鉴别准则，从根本上避免了传统的Fisher线性鉴别分析所遇到的小样本问题。

Owing to the maximum scatter difference discriminant criterion is an improved form of Fisher discriminant criterion , which theoretically eliminates the high-dimensional small sample size problem , a new method called local mean based generalized scatter difference unsupervised discriminant analysis is proposed .

由于最大散度差鉴别准则是对Fisher鉴别准则的改进，从理论上消除了高维小样本问题。

Its main idea is that the original input space is first mapped into a hidden space through a prespecified kernel function , in which space the feature extraction is conducted using the difference of between-class scatter and within-class scatter as the discriminant criterion .

该方法的主要思想就是首先利用一核函数将原始输入空间非线性变换到隐空间，然后，在该隐空间中，利用类间离散度与类内离散度之差作为鉴别准则进行特征抽取。

A New Feature Extraction Method Based on Fisher Discriminant Minimal Criterion

一种基于Fisher鉴别极小准则的特征提取方法

The discriminant functions of criterion by Mahalanobis distance , its decision effectiveness , which is 88.0 % for obvious non-normal wear and 95.5 % for normal wear and a few non-normal wear , and two simple and easy discriminations are reported .

报告了马氏距离判别法的判别函数及判别效果，对明显的非正常磨耗准确率达88.0%，正常磨耗和少量非正常磨耗准确率达95.5%。

After finishing arithmetic of the subspace object recognition , in order to effectively extracting classifying imformation of different patterns , more research work on linear discriminant analysis methods based on Fisher discriminant criterion was done .

完成子空间目标识别算法以后，为了有效地抽取模式的分类信息，继续研究了基于Fisher鉴别准则的线性鉴别分析方法。