1) NN classifier
最近邻判决准则
2) 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。
3) 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。
4) adjacent judgment
近邻判决
1.
It designs the most born algorithm in the adjacent still adopting the rule of random adjacent judgment and making use of the overall situation look for the excellent thought.
提出一种随机近邻分类的改进算法,它仍采用随机近邻判决准则,利用全局寻优思想,设计了最邻近生成算法,在理论和实践上说明了新算法分类良好的非线性、非球形性的特点,获得了与样本输入顺序无关的确定性结果。
5) criteria of nearest neighbourhood
最小邻近准则
6) locally nearest neighbor rule
局部最近邻准则
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