The principal component analysis (PCA) approach for sensor fault detection, identification and reconstruction in HVAC system is presented.
提出了空调系统传感器故障检测、故障识别、故障重构的主成分分析方法。
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。
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。
The research shows that the proposed approach is capable of overcoming flaws of stage-based sub-PCA modeling method as well as depending less on demands of data from process and prior knowledge.
研究表明，论文给出的方法能够克服常规多阶段PCA监控方法的缺陷，减小了对过程数据的要求和对过程先验知识的依赖。
This thesis presents principal component analysis (PCA) approach for sensor fault detection, identification and reconstruction in HVAC system.
本文提出了用主成分分析法(PCA)进行空调系统传感器故障检测与诊断的基本思想。
This paper investigates the segmentation of multi-target image based on SVM approach combining feature extraction of kernel PCA.
实验结果表明，结合核主成份分析的特征提取，支持向量机方法是一种很有前景的多目标图像分割技术。
The methods which can be utilized for EC-PCA (Profit Center Accounting) are period accounting or by the cost-of-sales approach.
不过，可以对欧共体常设仲裁法院（利润中心会计）使用方法或会计期间的成本的销售方式。
The PCA algorithm USES the "feature-face" approach to achieve the purpose of face detection, which determines whether it belongs to the face according to the "face space" the distance of the sample.
后者是利用了“特征脸”的方法，根据待识别样本到“脸空间”的距离确定它是否属于人脸，以此达到检测人脸的目的。
A novel extraction approach based on partitioning PCA for extracting cell cycle-regulation genes was established.
为了克服这一方法的弱点，提出分块pca，并以此为基础形成一种提取细胞周期调控基因的新方法。
A novel extraction approach based on partitioning PCA for extracting cell cycle-regulation genes was established.
为了克服这一方法的弱点，提出分块pca，并以此为基础形成一种提取细胞周期调控基因的新方法。
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