1) sum of squared differences
差方和
1.
Three typical similarity measures for remote sensing image registration are selected including mutual information,correlation coefficient and sum of squared differences.
本文从遥感图像配准的相似性测度中选取了互信息、相关系数和差方和等三种具有代表性的相似性测度,从计算时间、锐度、对噪声的容忍性以及对多源图像配准的影响等方面,通过实验对它们的性能进行了比较和分析。
3) variance of sum
总和方差
4) variance and covariance
方差和协方差
1.
Bayesian estimation of non-information variance and covariance components in the nonlinear model
非线性模型中无信息方差和协方差分量Bayes估计
5) sum and difference histograms
和差直方图
1.
According to the distinguishing feature of B scan ultrasonic image of liver,this paper puts forward the method of texture feature extraction with the use of the fractal feature together with sum and difference histograms.
根据肝脏B超图象的特点 ,提出利用分形特征配以和差直方图提取特征参数进行纹理识别 ,实验结果表明 :该方法分类精度高且计算速度快 ,克服了它们各自作为特征对肝脏B超图象进行纹理识别时 ,其识别率较低的缺
6) residual sum of squares
残差平方和
1.
Based on the investigation,the concept for the residual sum of squares and nonlinear residual sum of squares(standard residual sum of squares) are proposed.
通过考察爆破振动速度衰减公式中参数的线性回归方法和非线性回归方法,提出了线性残差平方和与非线性(亦即标准残差平方和)的概念,给出了求解衰减公式参数的非线性回归法,并详述了该方法的实现过程。
2.
In the sense of mean square error and residual sum of squares,we obtain some properties of the combining ridge and principal correlation estimation,and extend the results of [1].
本文研究了线性模型中的一种有偏估计,利用均方误差和残差平方和,得到了岭型主相关估计的一些性质,是对[1]中相关结果的推广。
3.
Starting from previously existing method for estimating parameters in production function, the author puts forward two new methods of estimation which possesses minimum regression residual sum of squares; and gives specific algorithm for realizing these two methods of parameler estimation.
这两种新的估计方法具有最小的回归残差平方和 ,文中给出实现这两种参数估计方法的具体算法 。
补充资料：差差
1.犹参差。不齐貌。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条