And car tracking is realized by a polygon fitting approach in three-parameter state space.
车辆的跟踪是采用三参数状态空间的多边形拟合技术来实现的。
Surface activity theory of molecules absorbed (modified) on electrode surface was employed to compare with the experimental cyclic voltammograms using a computer-fitting approach.
实验结果用电极表面吸附(修饰)分子的表面活度理论进行计算机拟合和此较，实验数据与理论符合较好。
As an important approach for improvement of productive efficiency and shape design, more and more attention is paid for reverse engineering, fitting of quadratic surface is one of its components.
作为提高生产效率和改善造型设计的重要途径，逆向工程受到越来越多的重视，空间二次曲面拟合是其重要组成部分之一。
Motivated by the concept of classic physical polar field model and off-set points strategy, we present a new approach, called field fitting.
受经典物理学中极性场模型及扩展点集思想的启发，提出一种称为“场拟合”的隐曲面重建方法。
The paper suggests an approach, utilizing the weighted polynomial regression for the best fitting of the variogram about spherical model or two-order nested spherical model.
本文提出了一种用加权多项式回归对球状模型和二级套合球状模型的变差函数进行最优拟合的方法。
This article presents surface fitting by use of radial basis function network approach dealing with 3d discrete data, and visualization of 3d data is achieved.
运用径向基函数网络方法将三维离散数据拟合成曲面，实现了三维数据可视化。
For the convenience of time -domain convolution, the vector fitting method is adopted to approach the characteristic impedance and delay function in complex frequency-domain.
为了便于时域卷积，对不同模量上的特征阻抗和延时函数在复频域采用矢量匹配法进行拟合。
The approach utilizes 2-level derivation of secondary current and a 3-sample fitting calculation for decaying DC component depress as well as the sample data identifying.
该方法采用微分电路和三采样值运算法，以电流的二阶导数深度抑制非周期分量并提高对采样值的甄别。
According to data which points distribute as grid or approach to grid, the thesis researches the algorithm of mobile curved fitting.
针对呈格网或接近格网状分布的采样点数据，本文研究了移动曲面拟合内插算法。
Starting from the Operations Research, this paper proposes method of linear programming approach with weight to fitting variogram, effectively guarantee the non-negative of the results of solving.
从运畴学的角度出发，提出了基于带权线性规划的方法拟合变差函数，有效地保证了求解结果的非负性。
The support vector approach learns a parsimonious regression model from the given data to avoid the data over-fitting problem.
支持矢量回归方法可以在给定的资料中生成一个简洁的回归模式，以避免常规机器学习法中的资料过度学习问题。
The moment-preserving thresholding method is used to pick-up targets, the mass centroid tracking algorithm and linear-fitting predicting approach are used to tracking targets.
采用矩持阈值分割方法提取目标，采用质心跟踪算法及基于线性微分拟合的记忆外推跟踪技术跟踪目标。
The moment-preserving thresholding method is used to pick-up targets, the mass centroid tracking algorithm and linear-fitting predicting approach are used to tracking targets.
采用矩持阈值分割方法提取目标，采用质心跟踪算法及基于线性微分拟合的记忆外推跟踪技术跟踪目标。
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