Diplomats still hope to launch negotiations on a new PCA before the next EU-Russia summit in Siberia in June.
外交官们仍希望在6月于西伯利亚举行下一次欧俄峰会前开启签订新合作伙伴协定的谈判。
Proposed a Band Selection algorithm based on Segmented PCA.
提出了一种基于分段主成分分析的波段选择算法。
The water quality in Dagujia River basin was assessed by using the PCA method.
采用主成分分析法(PCA)，对大沽夹河流域水质进行了定量化综合评价。
For continuous process, the normal PCA can be used to analyze the process data.
对于连续生产过程，可以采用普通的主元分析方法进行过程数据分析；
A segmented PCA based band selection algorithm of hyperspectral image is proposed.
提出了一种基于分段主成分分析的高光谱图像波段选择算法。
This paper proposes a face recognition method based on PCA and LVQ neural networks.
提出利用主元分析（PCA）和学习矢量量化神经网络（LVQ）相结合的方法进行人脸识别。
The main principle and applications to astrophysics of PCA are reviewed in this paper.
介绍了主成分分析法的原理和它在天体物理中的广泛应用。
A classifiers ensemble approach based on Principal Component Analysis (PCA) was proposed.
设计了一种基于主成分分析的分类器集成方法。
The results show that the PCA method has good performance in fault detection and diagnosis.
结果表明主成分分析法具有很好的故障检测和故障诊断能力。
The results of PCA and DPC show that the sampling data have a remarkable nonlinear structure.
PCA和DPC分析结果表明，取样数据具有明显的非线性结构。
Principal component analysis (PCA) is used in data compressing and statistical features extracting.
主分量分析技术通常用于数据压缩和统计特征的提取。
Fault detection and diagnosis sensitive capacity of PCA model was analyzed and calculated in detail.
对主元模型的故障检测能力进行了详细的分析计算。
Conclusions the efficacy of magnetic pillow was associated with the change of blood speed in PCA, VA, BA.
结论磁石枕的疗效与PCA、VA、BA的脑血流速度改善有密切关系。
This paper presents an algorithm about SAR image change detection based on Principal Component Analysis (PCA).
该文提出一种基于主分量分析(pca)的SAR图像变化检测算法。
The result of experiment shows that KICA is more accurate and robust than other conical ICA and PCA in the BBS.
实验表明在盲源信号分离中，基于核空间的ICA与其他典型ICA和PCA算法相比更具有准确性和鲁棒性。
Patient-controlled regional analgesia (PCRA) is a new analgesic method composed of regional nerve block and PCA.
应用区域神经阻滞并结合自控镇痛形成患者自控区域镇痛，是一种新的镇痛方法。
This paper presented a new multi-template character recognition method based on principal component analysis(PCA).
本文提出了一种基于主元分析法（PCA）的多模板字符识别算法。
During the procedure of finding base images using PCA and ICA, the number of source images is equal to base images.
PCA和ICA在寻找基图像的过程中，源图像和基图像的数目都是相同的。
To improve the forecasting accuracy, bivariate statistics and PCA were used to prepare and analyze the data in advance.
为了提高模型的预测准确率，使用了双变量统计和主成份对数据进行预处理和分析。
In this paper, a method based on within-class average faces of two-dimensional PCA is proposed for face feature extraction.
该文提出了一种基于二维pca的类内平均脸方法进行人脸的特征提取。
Among the methods of multiple indexes comprehensive evaluation, primary component analysis (PCA) is a relatively objective one.
在多指标综合评价中，主成分分析方法是一种较为客观的综合评价方法。
The classification of these samples was performed by applying PCA to the standardized data and plotting the graph of their scores.
对标准化后的数据计算各样品的主成分得分，根据得分分布图可快速分类样品。
The principal composition analysis (PCA) was used to study the multivariate characteristics of desert vegetation in Junnger Basin.
用主成分分析排序法分析准噶尔盆地沙漠植被的多元特征。
Then, USES PCA to reduce the dimensions of process data, trains the neural network with that data, and establishes the soft sensor.
本文采用主成分分析技术对过程数据降维，然后用降维后的数据训练神经网络，建立软测量模型。
To compare arithmetic performance, the authors also processed the spectral data with partial least squares and PCA-BP neural network.
为了比较算法的性能，作者又分别采用了偏最小二乘法、主成分分析结合BP神经网络进行数据处理。
The result of testing shows that PCA laser fluorescence spectra data analysis identification model can identify spill oil effectively.
测试实验得出，PCA激光荧光光谱分析识别模型能够有效地识别溢油。
Principal Component Analysis (PCA) is a main multivariate statistical method for getting principal information from observational data.
主成分分析法是从观测数据中获取主要信息的一种多变量统计方法。
A face recognition method based on the fusion of principal component analysis (PCA) and singular value decomposition (SVD) is presented.
提出了奇异值分解(SVD)和主分量分析(PCA)相结合的人脸识别算法。
A face recognition method based on the fusion of principal component analysis (PCA) and singular value decomposition (SVD) is presented.
提出了奇异值分解(SVD)和主分量分析(PCA)相结合的人脸识别算法。
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