1) NN rule
最近邻规则
1.
Considering the significance of train sets for the performance of neural networks,the proposed method combined simplicity of nearest neighbor(NN)with high accuracy of neural networks and utilized the modified NN rule to select the most representative samples as a .
针对这一问题,本文将最近邻法(Nearest neighbor,NN)简单快捷和神经网络高精度的特点相结合,提出了一种基于最近邻规则的神经网络训练样本选择方法。
2) nearest neighboring rule
最邻近规则
3) K-nearest neighbour rule
K-最近邻规则
1.
Study of segmentation algorithm of brain MRI based on K-nearest neighbour rule with threshold segmentation;
基于阈值分割的K-最近邻规则的磁共振脑图像分割算法的研究
4) nearest neighbor decision rule
最近邻决策规则
1.
A novel human face recognition method based on local singular value decomposition and nearest neighbor decision rule has been proposed,its essential contents can be listed as follows.
提出了一种基于局部奇异值分解和最近邻决策规则的人脸图像识别方法。
5) most adjacent principle
最邻近法则
6) nearest distance rule
最近邻准则
1.
Firstly KPCA is used to extract the features of human face image, and then SVM combined with the nearest distance rule is used for classification, which depends on the kernel principal components .
该方法首先利用核主元分析对人脸图像进行特征提取,然后依据支持向量机与最近邻准则对所提取的核主元特征进行分类识别。
补充资料：Nearestneighbor(近邻取样)
nearest neighbor (近邻取样)
又被称为point sampling(点取样)，是一种较简单材质影像插补的处理方式。会使用包含像素最多部分的图素来贴图。换句话说就是哪一个图素占到最多的像素，就用那个图素来贴图。这种处理方式因为速度比较快，常被用于早期3d游戏开发，不过材质的品质较差。
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