1) canonical correlation analysis
典型相关性分析
1.
A novel online canonical correlation analysis (CCA) algorithm based on approximate technique,called QuickCCA,is proposed.
为了解决在资源受限的计算环境下快速检测高维数据流之间相关性的问题,提出一种新颖的在线典型相关性分析(CCA)算法QuickCCA,针对传统CCA计算中的性能瓶颈,首先采用不等概列采样技术约减流元组的数量,形成概要矩阵;然后在概要矩阵的基础上增量地计算多维数据流之间的前k个典型相关系数。
2.
To quickly detect correlations between two multiple dimension data streams under constrained resources,a novel correlation analysis algorithm based on canonical correlation analysis(CCA),called StreamCCA,is proposed.
为了在资源受限的环境下快速检测多维数据流之间的相关性,本文提出一种新颖的基于典型相关性分析(CCA)的多维数据流相关性分析算法S treamCCA,针对传统的CCA计算中的性能瓶颈,提出为样本方差阵与协差阵组成的乘积阵降维的高效低价近似方法,在保持分析精度的前提下显著地提高了计算效率。
2) Canonical Correlation Analysis
典型性相关分析
1.
The Canonical Correlation Analysis between Physical Chemical Indexes with Biological Indexes of Surface Water;
本文将水质理化指标中的水温，pH值，悬浮物，总硬度，溶解氧，高锰酸盐指数，生化需氧量，非离子氨，亚硝酸盐，硝酸盐等和生物指标中的大型蚤死亡率，平均微核率，P指数，藻类属数，浮游植物个体总数之间的相关关系进行了分析，将理化指标作为自变量，生物指标作为因变量，使用SAS软件实现了对大量监测数据的典型性相关分析，找到了在典型变量中影响相对较大的主要变量。
3) nonlinear canonical correlation analysis
非线性典型相关分析(NLCCA)
4) nonlinear canonical correlation analysis(NLCCA)
非线性典型相关分析
1.
A nonlinear projection of the tropical Pacific sea surface temperature anomalies(SSTA) onto the Northern Hemisphere winter sea level pressure field(SLP) anomalies by nonlinear canonical correlation analysis(NLCCA) was performed to investigate the nonlinear association between ENSO and the Northern Hemisphere winter atmospheric circulation anomaly.
运用非线性典型相关分析(nonlinear canonical correlation analysis,简称NLCCA)方法,对热带太平洋海表温度异常(SSTA)场与北半球冬季海平面气压异常场(SLPA)进行非线性分析,以反映ENSO与北半球冬季环流异常之间的非线性关系。
5) Canonical correlation
典型相关分析
1.
Such new variable is tested by pattern recognition for saturated alcohol and ether, combined with block variables' orthogonal computation and canonical correlation ana.
联合块变量正交化和典型相关分析方法,以饱和醇醚的模式识别模型对变量进行了验证。
2.
By the parent-offspring canonical correlation analysis(CCA)on sheep s characters of wool yield and wool quality of Chinese Merino(Xinjiang type),the results are as follows:1.
通过对中国美利奴羊（新疆型）的羊毛产量、质量等性状的亲子典型相关分析，得到如下结论：１。
3.
In order to choose the traits acting main function and even more efficaciously directing breeding,the canonical correlation among main traits of 247 specific line ZFD was conducted applying with Cancorr program of canonical correlation module of SPSS in this experiment.
0软件的Canonical correlation模块的Cancorr程序对247头ZFD专门化品系猪主要选育性状进行典型相关分析,筛选起主要作用的性状,以更有效指导育种工作。
6) Canonical Correlation Analysis(CCA)
典型相关分析
1.
By analyzing the relativity between two-dimensional maximum scatter-difference discriminant analysis(2DMSLDA) and two-dimensional Fisher discriminant analysis(2DFLDA),according to traditional canonical correlation analysis(CCA),a novel method of combining different feature matrixes directly is proposed in this paper by using the main idea of image projection in face recognition.
本文在此基础上,通过对传统的基于向量的典型相关分析方法进行分析改进,提出了一种新的直接基于图像二维鉴别特征矩阵融合的二维典型相关分析方法,并将其应用于人脸识别的特征融合过程中。
2.
According to the traditional Canonical Correlation Analysis(CCA),a novel method of combined feature extraction called Two-Dimensional Canonical Correlation Analysis(2DCCA) was proposed in this paper.
通过对传统的基于向量的典型相关分析(CCA)方法进行改进,提出了一种新的直接基于特征矩阵的二维典型相关分析方法(2DCCA),并将其应用于人脸识别的特征融合过程中。
3.
Then according to the algorithm of canonical correlation analysis(CCA),proposed a kind of associated feature based on ear and face profile for classification and recognition.
鉴于人耳和人脸特殊的生理位置关系,从非打扰识别的角度出发,提出仅采集侧面人脸图像,利用典型相关分析的思想提取人耳和侧面人脸的关联特征,进行人耳和侧面人脸在特征层的融合。
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相关分析(见统计分析)
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