您要查找的是不是：
- Based on the fuzzy theory, such concepts as the fuzzy mean and fuzzy variance are introduced to determine thc linear discriminant function of fuzzy graphs thus providing the maximum separation of thesc fuzzy groups in a real space. 本方法从模糊集理论出发,引进模糊平均数、模糊方差及模糊方差比,确定一个线性判别函数使在实数空间上最大可能分离模糊类。
- Fisher linear discriminant function Fisher线性判别函数
- Extension of Linear Discriminant Function on Non-guass Data 线性判别在非高斯数据上的推广
- piecewise linear discrimination function 分段线性判别函数
- linear discriminant function 线性判别函数
- Linear Discriminant Analysis (LDA) is one of the most popular linear classification techniques for feature extraction. 线性判别分析(LDA)是一种较为普遍的用于特征提取的线性分类方法。
- Kernel linear discriminant analysis (KLDA) is essentially a nonlinear feature extraction criterion. 核线性判别准则(KLDA)是一种非线性特征提取准则。
- This paper presents a feature selection method based on genetic algorithm GA) and linear discriminant analysis LDA). 摘要本文提出了一种基于遗传算法的基因微阵列数据特征提取方法。
- Then linear discriminant analysis was applied to classify the extracted features. 应用线性判别式分析对所提取的特征进行分类。
- Independent Component Analysis （ICA） and Linear Discriminant Analysis （LDA） are two effective methods of feature extraction. 本文提出了一种基于独立成分分析和线性鉴别分析的特征提取方法。
- This paper explains the advantages using Fesher discriminant function in CORA-3 algorithm for pattern recognition. 本文介绍在模式识别的 CORA-3算法中,使用费歇尔准则分类判别的优越性和作用。
- Heteroscedastic linear discriminant analysis(HLDA) is applied widely in speech recognition due to its ability of feature de-correlation. 异方差线性判别分析(HLDA)因在语音识别中起到了巨大的特征去相关作用而被广泛利用。
- Based on random subspace,a complementary subspace linear discriminant analysis (LDA) approach is presented for face recognition. 基于随机子空间,提出了一种用于人脸识别的互补子空间线性判别分析方法。
- He analysed the results using a technique called discriminant function analysis. 博士用一种叫做判别函数分析的方法对结果进行研究。
- This paper presents a face recognition method based on cascade Linear Discriminant Analysis(LDA) of thecomponent-based face representation. 文章提出一种基于人脸部件表示的级联线性判别分析人脸识别方法。
- This paper aims at the two dimensiona reduction and Linear Discriminant Analysis (LDA) discriminant methods-to do the data analysis on gene chip (micoarray). 摘要主要采用偏最小二乘法和线性判别分析(LDA)有监督分类的方法来对基因芯片（微阵列）数据进行分析.
- Compared with linear discriminant analysis (LDA), kernel-based discriminant analysis (KDA) is more suitable for classifying the linear non-separable problem. 通常根据已知的故障特征模式,给定某个判别函数类,根据此函数判断待识别样本属于哪一类故障。
- Consequently the problem of distinguishing large pore paths is realized with the discriminant function by using a microcomputer. 利用此判别函数实现了在微机上用费歇方法识别大孔道的问题。
- Therefore, a criticalissue of applying linear discriminant analysis (LDA) and quadratic discriminantanalysis(QDA) is both the singularity and instability of the covarianee matrix. 因此，使用线性鉴别分析(LDA)与二次判别分析(QDA)算法所要面对的关键问题是如何解决协方差矩阵的奇异性和不稳定性。
- The paper studied the Storage life of different maturity lilac pear by electronic nose and analyzed the data tested by linear discriminant analysis (LDA). 摘要探讨了采用电子鼻对不同成熟度的雪青梨的贮藏期检测研究。选取线性判别式分析法(LDA)对测得的数据进行识别分析。
