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- Based on feature points extraction and total least squares approximation, a new method is presented for extracting and vectorizing Street blocks on topographic maps. 摘要提出了特征点提取和总体最小二乘拟合相结合的新方法,对扫描地图上的居民地街区进行提取和矢量化。
- moving least squares approximation (MLS) 移动最小二乘近似
- Moving least squares approximation 修正的移动最小二乘近似
- Meshless Method with Modifying Generalized Moving Least Squares Approximation 改进广义移动最小二乘近似的无网格法
- By using least square approximation and non-linear functional minimization, the data points of plane could be faired approximately. 利用最小二乘法和非线性泛函的极小值优化计算,对平面数据点进行光顺逼近,达到光顺的目的。
- By using the technique of least square approximation and non-linear functional minimization,the data points of plane can be faired approximately. 通过最小二乘法和非线性泛函的极小值优化计算,对平面数据点进行光顺逼近,达到了光顺的目的。
- An algorithm of designing the least squares approximation filter with linear phase 一种设计线性相位最小二乘逼近滤波器的方法
- moving least square approximation 移动最小二乘近似
- Keywords Element free Galerkin method Moving least squares approximation Mixed transformation method Metal forming process Penalty method; 无网格伽辽金法;移动最小二乘近似;混合变换法;金属塑性成形;罚函数法;
- Removal of Hidden Neurons Based on Least Square Approximation 通过最小二乘拟合方法删除神经网络的隐节点
- least squares approximation 最小二乘逼近
- Least squares in linear models II. 线性模型中的最小二乘法2。
- A Study on the Spline Weight Function in the Moving Least Square Approximation 移动最小二乘近似函数中样条权函数的研究
- SUYKENS J,De BRABANTER J.Weighted least squares support vector machines:robustness and sparse approximation[J].Neurocomputing,2002,48(1):85-105. 陈念贻叶晨洲等.;支持向量机及其他核函数算法在化学计量学中的应用[J]
- Exe-Using least squares algorithm on Multi-times curve fitting. 最小二乘法多次曲线拟合。
- Design of a Direct Digital Frequency Synthesizer Based on Least Square Approximation 一种基于最佳平方逼近算法的数字频率综合器
- Method of Sphere Surface Fitting for Glass Shell Based on Least Square Approximation 一种基于最小二乘估计的玻壳曲面拟合方法
- The lines shown in these figures were fitted by the method of least squares. 这些图中的相关线是通过最小二乘法得到的。
- The simulation results indicate that Recursive Instrumental Variable(RIV)method has better parameter estimation than Recursive Generalized Extended Least Squares(RGELS) in this approximation. 仿真结果表明:在这种近似下递推辅助变量法(RIV)比递推广义增广最小二乘法(RGELS)可以得到更好的参数估计。
- C1 is obtained using the least square method. C1 被获得使用最没有正直的方法。