1) Multiway independent component analysis (MICA)

多向独立元分析法
2) Independent component analysis

独立元分析
1.
On-line monitoring of gas metal arc welding defects based on independent component analysis;
基于独立元分析的GMAW缺陷在线监测
2.
Contorted objects recognition based on independent component analysis;

基于独立元分析的扭曲目标识别
3.
Analysis of Electrocardiogram Signals Based on Independent Component Analysis;

基于独立元分析的心电信号分析
3) independent component analysis(ICA)

独立元分析
1.
A new denoising method is presented in the paper, based on the independent component analysis(ICA) and the noise independent component selection measurement which is the dispersivity of the independent component's projection coefficients to each electrode.
使用独立元分析方法,提出了一种以独立元对各电极点投影系数的离散度为噪声独立元选取准则,设计了一套心外膜标测电位去噪新方法。
4) ICA

独立元分析
1.
A New Scheme for Affine Invariant-Descriptor and Affine Transformation Parameter Estimation Based on ICA;
一种基于独立元分析的仿射不变描述和仿射变换参数估计的新方法
2.
In face recognition traditional Independent Component Analysis (ICA) is to convert face image matrix into vector to find whitened matrix, and separate matrix is solved by way of Fast ICA.
传统独立元分析(Independent Component Analysis,ICA)用于人脸识别首先是将人脸图像矩阵转换成向量求白化矩阵,然后利用快速固定点算法求分离矩阵,获得人脸图像独立基子空间,从而实现人脸识别。
3.
General Face Animation Mode Expression Based on ICA;

然后通过对获取数据应用独立元分析获得一般人脸动画模式,最终使用ICA参数空间生成任意特定人的面部表情。
5) multi-way independent component analysis

多向独立成分分析
1.
A nonlinear multi-way independent component analysis (MICA) technique was proposed that is multi-way kernel independent component analysis based on feature samples (FS-MKICA) method.
针对间歇过程的非线性操作特性,提出一种非线性的多向独立成分分析(MICA)方法-基于特征样本的多向核独立成分分析(FS-MKICA)。
6) multiway principle component analysis

多向主元分析法
1.
The problem of poor prediction of the traditional online monitoring approaches based on multiway principle component analysis(MPCA)is discussed.
针对多向主元分析法(MPCA)在线监控传统方法的预测能力差而常常导致误报、漏报的实际情况,基于广义相关系数法提出一种在线监控方法。
补充资料:SAMCEF——先进的通用有限元分析软件
SAMTECH公司是通用有限元软件包SAMCEF的开发商和服务商,是欧洲CAE领域的有力竞争者。SAMTECH在航空和航天工业,以及防卫、汽车、能源和造船等工业有广泛的应用。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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