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- Based on the idea of subspace projection, an optimal kernel discriminant analysis (OKDA) is given and used to extract features from a range profile. 核判别分析(KDA)是一种抽取非线性特征的有效方法，但它会因为奇异性问题而难以求解。
- Kernel discriminant analysis (KDA) is an effective method for nonlinear feature extraction in radar target recognition, but it is usually difficult to solve due to the singular problem. 摘要特征提取是雷达目标识别研究中的重要问题，有效、稳健的特征是提高识别率的关键。
- Client Specific Kernel Discriminant Analysis(CSKDA) 客户相关的核判别分析
- KDA(kernel discriminant analysis) 核辨别分析
- fuzzy kernel discriminant analysis 模糊核判别分析
- Kernel Discriminant Analysis (KDA) 核判别分析
- Kernel Discriminant Analysis(KDA) 核鉴别分析
- kernel discriminant analysis 核判别分析
- 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。
- Based on uncorrelated discriminant analysis, kernel uncorrelated discriminant analysis is developed. 摘要核不相关鉴别分析是在线性不相关鉴别分析的基础上发展起来的。
- A kernel based generalized discriminant analysis(GDA) technique is proposed for the classification of stars,galaxies,and quasars. 提出了基于广义判别分析(generalized discriminant analysis,GDA)方法对恒星(Star)、星系(Galaxy)和类星体(Quasars)的光谱进行分类。
- Most importantly, the proposed method can overcome the singular problem of matrices in kernel uncorrelated discriminant analysis. 最重要的是，提出的算法能克服核不相关鉴别分析中矩阵的奇异问题。
- In order to overcome this problem, an effective method for solving kernel uncorrelated discriminant analysis is proposed in this paper. 为了解决这个问题，提出一种解决核不相关鉴别分析的有效算法。
- A novel kernel discriminant transformation (KDT) algorithm based on the concept of canonical differences is presented for automatic face recognition applications. 机器学习方法在样式辨别领域有许多成功的应用，其中一个有趣的主题是伪钞辨识。
- A discriminant analysis was performed to analyze each parameter and to compute a functional score. 应用判别式分析法对每一个参数进行处理并且计算出一个功能评分。
- Stepwise discriminant analysis was performed to obtain risk factors of CAA based on clinical and early laboratory data. 我们先以单变数统计方法来检验十六个临床和实验变数，发现在两群中只有白血球和C-反应蛋白质具有统计上之显著差异。
- optimal kernel discriminant vectors 最优核鉴别矢量
- 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。
- Chi-square test, one-way MANOVA, and discriminant analysis were used to analyze the data. 使用的统计方法包括：因素分析、卡方检定、多变量变异数分析及区辨分析。
- The discriminant analysis and univariate analysis also revealed the similar results. 判别分析和单变量分析的结果亦与上述结论相符；
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- 深远海浮式风电平台 - deep-sea floating wind power platform
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- 京雄高速公路 - Beijing-Xiongan expressway
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- 农业及相关产业增加值 - the added value of agriculture and related industries
