1) inverse distance weight
逆距离加权
1.
This paper analyzes the soil sample data by three mothods after they were collected from 120hm 2 of field in Suxi Mirror Village, Taihe County, Jiangxi Province, which were inverse distance weight interpolation, field average value and spatial variability interpolation model of field nutrients respectively.
对江西省泰和县苏溪养分监测村的 1 2 0hm2 的农田进行土壤采样 ,运用逆距离加权插值、田块平均值以及农田土壤养分空间变异插值模型对该区域的土壤样品进行插值分析 ,研究结果表明农田土壤养分空间变异插值模型较好地反映了土壤养分空间的分布。
2) weighted distance
加权距离
1.
Samples weights are properly solved through introducing the concept of weighted distance between weighted sample and hyperplane.
通过引入样本与超平面加权距离的概念,使得WSVM算法可以对样本的权值信息进行有效处理。
2.
The weighted distance between two adjacent intervals is defined using relative class frequency in the algorithm.
本文提出一种加权距离量化方法。
3) distance-weighting
距离加权
1.
The algorithm can simplify mesh models effectively, it also uses distance-weighting for viewport-clipping, results in view-dependent simplified mesh model.
该方法能根据视点位置简化网格 ,产生符合观察需要的网格 ;还将距离加权用于视窗裁剪 ,得到视点相关的网格模型 。
5) weighed distance
加权距离
1.
This paper pointted out some faults in some distance formulas of Vague set(value),and give a weighed distance formula of vague set.
给出Vague(值)集间的一个加权距离公式。
2.
A weighed distance formula of vague set was proposed.
给出Vague(值)集间的距离的新定义,并给出一个Vague集间的加权距离公式。
3.
Using the weighed distance formulas of Vague set,a new bidirectional approximate reasoning method based on distances of Vague set was presented.
应用Vague(值)集间加权距离公式,提出了一种基于Vague集间距离的双向近似推理方法。
6) Weighted Hausdorff distance
加权Hausdorff距离
1.
In order to meet requirement that scene matching aided navigation system must get aircraft position error real-timely, an image matching algorithm based on genetic algorithm and weighted Hausdorff distance was proposed.
由于一般图像匹配算法均采用全局搜索法,耗时较大,为满足景象匹配辅助导航系统实时性的要求,提出了一种将遗传算法和加权Hausdorff距离算法相结合的图像匹配算法,利用遗传算法的非遍历搜索机制,迅速收敛到全局近似最优解,提高了匹配搜索的快速性。
2.
At the low-level matching step, the weighted Hausdorff distance algorithm was utilized to obtain pixel-level precision of position errors.
该算法分两级:一、将加权Hausdorff距离算法引入图像粗匹配并推导了权值计算公式;二、应用最小二乘算法精匹配定位出两幅图像间的最优相似变换参数,并就最小二乘原理给出了实时确定图像特征点集一一对应关系的方法。
补充资料：因侵害姓名权、肖像权、名誉权、荣誉权产生的索赔权
因侵害姓名权、肖像权、名誉权、荣誉权产生的索赔权：公民、法人的姓名权、名称权，名誉权、荣誉权、受到侵害的有权要求停止侵害，恢复名誉，消除影响，赔礼道歉，并可以要求赔偿损失。
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