1) Low-rank approxiamtion
低秩近似
2) Low Rank Approximation of Matrix
矩阵低秩近似
3) low-rank approximation
低秩逼近
1.
As a technology for obtaining low rank denotation of extremely large matrix, Low-Rank Approximation plays an important role in many fields such as pattern recognition, machine learning and data mining.
低秩逼近是一种寻求大规摸矩阵的低秩近似表示技术,在模式识别,机器学习和数据挖掘等领域有着广泛的应用,是人们从复杂的数据中寻找有用信息的强有力的方法。
4) low frequency approximation
低频近似
5) low-rank approximation
低阶近似
1.
Combined with the signal-noise subspace theory,a new rank-choose criterion for low-rank approximation was raised.
在分析基于奇异值分解(SVD)的线性最小均方误差(LMMSE)估计的实现原理的基础上,结合信号、噪声子空间理论,给出了矩阵低阶近似时秩的选取方法。
6) low dimensional approximation
低阶近似
1.
Proper orthogonal decomposition and low dimensional approximation of the wall-pressure fluctuation acting on the apron of the stilling pond;
消力池导墙脉动壁压的正交分解与低阶近似
2.
Proper orthogonal decomposition(POD) and the low dimensional approximation are applied to the aberrated wavefront time series,the comparisons between the measured wavefronts and low dimensional approximation reconstruction wavefronts of 16# and 1008# were conducted.
应用哈特曼波前传感器测量了准直平行光通过低速热射流流场后的畸变波前时间序列,对该波前时间序列进行了本征正交分解(POD)和低阶近似研究,对比研究了16#,1008#数据点处的低阶近似波前时间序列和测量波前时间序列。
3.
The orthogonal decomposition and low dimensional approximation of turbulent structures are investigated, and a pattern identification method based on orthogonal decomposition is suggested.
对湍流结构的正交分解与低阶近似进行了探讨 ,并在正交分解的基础上建立了湍流相干结构相干模式的识别方法 。
补充资料：有秩
1.博大﹐无穷。 2.古代乡官名。汉承秦制﹐乡五千户则置有秩﹐秩百石﹐掌管一乡。
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