loeve 中文意思是什麼
loeve
解釋
勒夫-
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
基於隨機場的局部平均法以及隨機過程的karhunen - loeve分解理論，通過一階隨機攝動方法建立了考慮材料近似不可壓縮的粘彈性隨機有限元公式，由相關結構分解減少計算量，分析了各結構隨機響應量之間的關系，給出了數字特徵的計算方法，研究了粘彈性隨機結構的montecarlo模擬驗證方法。 -
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
揭示了具有統計不相關性的線性鑒別分析與經典的k - l展開方法的內在關系，即不相關的線性鑒別分析方法與包含在類均值向量中判別信息的最優壓縮方法是等價的，並在此基礎上導出了一種最優k - l展開方法。 -
Before classification, karhunen - loeve transform is carried through for features abstract
分類前對數據進行主成分分析，實現特徵提取的目的。 -
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變換首先對人臉圖像進行特徵參數提取，再利用支持向量機進行識別。 -
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
本文在對一些目前已有的多光譜圖像壓縮方法進行深入研究的基礎上，分別利用k - l變換和神經網路的方法實現了遙感圖像的壓縮。
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