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- Kernel function is applied in PCA and DDA, so the linear discriminance method is dislinearized. 在主分量分析方法以及线性判别式方法中,引入核函数,使得原来的线性判别方法非线性化。
- The Kernel method was briefly introduced and compared with linear discriminative method in this article. 简要介绍非参数法中的核密度估计法,并与线性判别法进行比较。
- linear discriminant method 线性判别式方法
- 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。
- 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。
- The Gabor-fisher classifier (GFC) method for face recognition applies the enhanced fisher linear discriminant model (EFM) to an augmented Gabor feature vector derived from the Gabor wavelet representation of face images. 本文介绍了Gabor-fisher classifier分类器(GFC)人脸识别方法,利用该方法首先对面部图像进行Gabor小波处理,再对得到的增广Gabor特征向量应用增强线性辨别法模型(EFM)以得到辨别特征,该方法对于人脸图像在光照和表情变化的情况下仍然是有效的。
- 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。
- 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。
- Maxium likelihood discriminant method is practical in quantitative diagnosis of syndromes of apoplectic sequela. 用最大似然判别法探讨中风后遗症中医证候计量诊断方法，有较好的实用价值。
- 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。
- 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。
- Conclusion: Maxium likelihood discriminant method is practical in quantitative diagnosis of syndromes of apoplectic sequela. 结论：用最大似然判别法探讨中风后遗症中医证候计量诊断方法，有较好的实用价值。
- 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。
- 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。
- Principle of agroclimatic similarity and discriminant method of similar degree are introduced, in order to provide climatic bases for successful crop introduction. 介绍了农业气候相似原理以及相似程度判别方法，为农作物合理引种提供气候依据。
- Secondly, to combine the merit of Fisher discriminant analysis and laplacian graph: Linear discriminant analysis can obtain the best projecting direction and laplacian graph can preserve the local structure. 其次,结合Fisher准则函数和拉普拉斯图的特性:线性鉴别分析寻找最优的投影方向和拉普拉斯图保留本地结构信息的优点,本文第三章提出了广义的拉普拉斯鉴别分析方法。
