1) combined invariant
组合不变量
1.
A novel pattern recognition method is presented, which can solve the problem by using combined invariants as image features.
该方法用组合不变量作为图像特征 ,以加权规格化互相关作为分类技术。
2) invariants
不变量组
1.
A new solution of high order differential equation is given, by using the equation invariants.
利用高阶变系数线性微分方程的不变量组，直接给出方程的一种新解
2.
A new solution to the high order linear differential equation is obtained by using the invariants of the equation and through linear transformation as well as a particular solution to Riccati equation.
利用高阶变系数线性微分方程的不变量组，通过线性变换和求特殊类型的Ｒｉｃｃａｔｉ方程的一个特解，给出一类高阶变系数线性微分方程的新解
3) combined variables
组合变量
4) combined invariant moment
组合不变矩
1.
A new combined invariant moment is presented in this paper according to the characteristics of NMI and affine invariant moments proposed by Jan Flusser with their application conditions.
根据NMI特征和Jan Flusser提出的仿射不变矩的特点及各自的适用条件,提出了一种组合不变矩。
2.
A new combined invariant moment was presented according to the characteristics of NMI\'s feature and affine invariant moment proposed by Jan Flusser with their application conditions.
根据NMI特征和Jan Flusser提出的仿射不变矩各自的特点和适用条件,提出了一种组合不变矩。
5) combinatorial invariance
组合不变性
1.
There is a conjecture regarding the Kazhdan-Lusztig polynomials, the so-called combinatorial invariance conjecture.
关于K-L多项式,有一个组合不变性的猜想,这个猜想是由Lusztig与Dyer独立提出的。
6) method of variable combination
变量组合法
1.
The improvement to the method of variable combination makes the problem of dual variable separation in geometric programming with a multi difficulty degree simple and easy to solve.
对变量组合法进行了改进，使多困难度几何规划中对偶变量分离问题简单易解。
补充资料：变量与变量值
可变的数量标志和所有的统计指标称作变量。变量的数值表现称作
变量值，即标志值或指标值。变量与变量值不能误用。
变量值，即标志值或指标值。变量与变量值不能误用。
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