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。

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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。

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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。

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