This paper presents a human face detection and localization approach which is based on skin color detection and principle component analysis (PCA).
提出一种基于人脸肤色统计模型和主元分析(pca)的人脸检测和定位方法。
Mixed image cells decomposition algorithm based on principle component analysis is a widely used algorithm, but the large computation amount and less flexibility are its main drawbacks.
基于主分量分析的混合像元分解算法是一种较为成熟的算法，但它存在着计算量大，适应性差等缺点。
Combined the advantage of empirical mode decomposition (EMD) and principle component analysis (PCA), a blind separation method of rolling bearing faults is proposed based on EMD and PCA.
结合经验模态分解和主分量分析各自的优点，提出了一种基于EMD -PCA的轴承故障源的盲分离方法。
The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data.
该方法首先利用小波变换和主成分分析对故障信号进行预处理，然后用处理后的故障特征数据对小波神经网络进行训练和测试。
A nonlinear filtering method based on principle component analysis (PCA) was proposed according to the statistical characteristics of the Doppler ultrasound blood flow signal and wall thump signal.
根据超声多普勒血流信号和血管壁搏动信号的统计特性，提出了一种基于主元分析的非线性滤波方法。
In this paper, the principle component analysis (PCA) theory is introduced, and the theory is used for fault diagnosis of lock of actuator.
文中介绍了主元分析算法以及在故障检测方面的应用。
Dynamic and static mapping techniques are introduced as the qualitative methods. Statistical methods, inverse calculation and principle component analysis are introduced as the quantitative methods.
其中在定性方法中介绍了静态和动态标测法，在定量方法中则介绍了统计学方法、逆运算方法和主分量分析方法。
Principle component analysis showed hat the elevation and soil thickness can be used as sensitive indices to describe plant change.
主成分分析结果表明，海拔和土壤厚度是指示植被变化的敏感指标；
Classical feature extraction methods include: Principle Component Analysis, Singular Value Decomposition, Projection Pursuit, Self-Organizing Map, and so on.
传统的特征提取方法主要有：主分量分析、奇异值分解、投影追踪、自组织映射等。
Principle component analysis is based on multi-statistics method, and turning into an important way to proceed data for production monitoring and quality control.
主成分分析属多元统计方法，正逐步成为控制领域中一种重要的数据处理方法，用于生产监测和质量控制。
These methods include the Principle component analysis, the Regression analysis, the Grey cognate analysis, the Delphi, the Ordering method, the Analytical Hierarchy Process, Fuzzy method.
目前学术界对土地等级评价所使用的主要方法有：主成分分析法、回归分析法、灰色关联度分析法、特尔斐法、排序法、层次分析法、模糊综合评价法。
The paper briefly introduced the theoretical foundation of MSP method, which include Principle Component Analysis (PCA), Principle Component Regression (PCR), and Partial Least Squares (PLS).
介绍了多变量统计投影方法的主要理论基础，包括：主元分析(PCA)、主元回归(PCR)、偏最小二乘(PLS)。
Aiming at the preceding problem, this paper puts forward a feature selection method using Information Gain (IG) and Principle Component (Analysis) (PCA).
针对上述问题，提出了信息增益(IG)与主成分分析(PCA)相结合的特征选择方法。
Aiming at the preceding problem, this paper puts forward a feature selection method using Information Gain (IG) and Principle Component (Analysis) (PCA).
针对上述问题，提出了信息增益(IG)与主成分分析(PCA)相结合的特征选择方法。
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