loeve meaning in Chinese
勒夫
Examples
- Before classification , karhunen - loeve transform is carried through for features abstract
分类前对数据进行主成分分析，实现特征提取的目的。 - Karhunen - loeve transform is employed to get the representation basis of face image set , then use support vector machines to recognize
摘要利用k - l变换首先对人脸图像进行特征参数提取，再利用支持向量机进行识别。 - In this paper , some theories and methods of compression of multispectral images are reviewed and researches on multispectral remote - sensing image compression by karhunen - loeve transformation ( klt ) and neural network are discussed
本文在对一些目前已有的多光谱图像压缩方法进行深入研究的基础上，分别利用k - l变换和神经网络的方法实现了遥感图像的压缩。 - A new type of viscoelastic stochastic finite element method is established using first - order perturbation theory based on local averaging method of random field and karhunen - loeve expansion theory of random process . the amount of computations is greatly reduced by transforming correlated random variables to a set of uncorrelated random variables . the relations of different random response variables are analyzed and monte carlo simulations for viscoelastic stochastic structures are investigated
基于随机场的局部平均法以及随机过程的karhunen - loeve分解理论，通过一阶随机摄动方法建立了考虑材料近似不可压缩的粘弹性随机有限元公式，由相关结构分解减少计算量，分析了各结构随机响应量之间的关系，给出了数字特征的计算方法，研究了粘弹性随机结构的montecarlo模拟验证方法。 - The inherent relationship between fisher linear discriminant analysis and karhunen - loeve expansion is revealed , i . e . , ulda is essentially equivalent to one classical k - l expansion method . moreover , we enhance ulda using the idea of another k - l expansion method , and finally an optimal k - l expansion method is developed
揭示了具有统计不相关性的线性鉴别分析与经典的k - l展开方法的内在关系，即不相关的线性鉴别分析方法与包含在类均值向量中判别信息的最优压缩方法是等价的，并在此基础上导出了一种最优k - l展开方法。