1) Weighted neighborhood
加权邻域
3) neighborhood weighted average
邻域加权平均
1.
A modified neighborhood weighted average approach was proposed in this paper for smoothing the normal directions on the voxel object surface.
文中提出了一种改进的邻域加权平均法 ,对物体表面的法向量方向进行光顺处理 ,光顺操作只在相关边界体素间进行 ,并且对有多个等值面交汇的边界体素将不进行光顺操作 ,以避免模糊位于多个区域处的边界和保持物体表面光照图的细节 。
4) weighted neighborhood filter
加权邻域滤波
1.
By analyzing the weighted neighborhood filter and adaptive weighted median filter are proposed in this paper for the differences.
分析了破损路面图像的像素点区域特征,针对不同区域提出加权邻域滤波和自适加权中值滤波算法。
5) add according to the neighborly area
邻域累加
6) weighted nearest neighbor
加权最近邻
1.
It established different NCs based on bootstrapping technique,and evaluated the classification accuracy of every NC by different sorts of weighted nearest neighbors for mixed attributes,then the NCs with low relative generalization error rates were dynamically selected and majority voting was applied to those NCs in order to conduct the final classification results of the ensemble.
基于bootstrapp ing构建不同的个体神经网络,针对混合属性,通过不同的加权最近邻设计评估单个网络的分类精度,在此基础上动态选择误差率较小的神经网络,经过投票形成集成分类结果。
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