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1)  kernel canonical correlation analysis
核典型相关分析
1.
Fusing facial feature recognition algorithm based on kernel canonical correlation analysis
核典型相关分析的融合人脸识别算法
2.
Second, we have proven the equivalence between a new implementation of kernel canonical correlation analysis and traditional implementation with less condition, and use it as the classifier of steganalysis, the effect is better than support vector mach
二是用更少的条件证明了核典型相关分析的一种实现方法和传统实现方法的等价性,并把它用作隐藏检测的分类器,取得了比支撑向量机更好的效果。
2)  Kernel Canonical Correlation Analysis(KCCA)
核典型相关分析
1.
In this paper, reduced and important further features are obtained by introducing Kernel Canonical Correlation Analysis(KCCA), and the binary tree based multi-class classification SVM is used to complete the classification task by these further features.
针对该问题,采用核典型相关分析方法进行原始特征的二次提取,得到简约而重要的二次特征。
2.
Kernel Canonical Correlation Analysis(KCCA) is a recently addressed supervised machine learning methods,which is a powerful approach of extracting nonlinear features.
核典型相关分析(KCCA)是一种有监督的机器学习方法,可以有效地提取非线性特征。
3)  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。
4)  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。
5)  canonical analysis
典型相关分析
1.
By means of multivariate statistical analysis such as canonical analysis, correlation analysis and regression analysis etc .
本文应用典型相关分析,辅以简单相关、多元回归分析以及逐步回归分析等方法,研究浮游植物指标中影响浮游动物的主要因子。
6)  CCA
典型相关分析
1.
Based on the Canonical Correlation Analysis(CCA),the temporal correlation and spatial correlation are used together to detect the activated area in the fMRI data.
在典型相关分析(CCA)基础上将时域相关系数与空域相关系数有机结合,并得到新的相关系数进行阈值分割,进而对fMR I数据进行提取。
2.
Canonical Correlation Analysis(CCA) is applied to analyze the land use change and external driving factors,by which the cont.
选择位于杭嘉湖平原地区社会经济快速发展的浙江省海盐县为研究区,利用遥感数据,对研究区土地利用类型的空间转移与格局变化进行分析的基础上,选取研究区土地利用变化的社会经济驱动因子,运用典型相关分析方法诊断各社会经济驱动因子对土地利用变化格局形成贡献作用的大小,同时运用典型相关系数和冗余度分析,检验了分析结果。
3.
To deal with how to characterize the gait with non-linearity correlation information,combined the Canonical Correlation Analysis with the locality method,the Locality Discriminant CCA is used to the gait recognition.
针对步态特征提取时非线性相关信息的表示问题,基于典型相关分析,结合局部化思想,提出局部判别典型相关分析方法进行步态特征表达并进行步态识别,提取的步态特征使得同类样本之间的相关度最大化,而不同类样本之间的相关度最小化。
补充资料:相关分析(见统计分析)


相关分析(见统计分析)


x Iangguan fenxj相关分析见统计分析。
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