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AComparativeStudyonFaceRecognitionUsingLDA-BasedAl
- 线性判别分析(LDA)是一种较为普遍的用于特征提取的线性分类方法。但是将LDA直接用于人脸识别 会遇到维数问题和“小样本”问题。人们经过研究，通过多种途径解决了这两个问题并实现了基于I,DA的人脸识 别 文章对几种基于LDA的人脸识别方法做了理论上的比较和实验数据的支持，这些方法包括Eigenfaces、Fish— erfaceS、DLDA、VDLDA及VDFLDA。实验结果表明VDFLDA是其中最好的一种方法。-Low—dimensional feature representat
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- Some matlab routines of power spectrum estimation
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- Virtual power wireless sensor network coverage, Using matlab written narrowband noise occurs, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon.
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- Signal power spectrum density and matlab simulation of stationary random process, good
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- 采用matlab编程实现基于牛顿拉夫逊算法的电力系统潮流计算,(Using matlab programming based on newton-raphson algorithm of power system flow calculation,)
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- matlab implements five gray correlation degree computing model, Signal dimension estimates, DC-DC power single-part set-loop control.