1) neighborhood preserving discriminant embedding
保持近邻判别嵌入
1.
Face recognition using neighborhood preserving discriminant embedding;
基于保持近邻判别嵌入的人脸识别
2) neighborhood preserving embedding
近邻保持嵌入
3) Supervised Neighborhood Preserving Embedding(SNPE)
有监督近邻保持嵌入(SNPE)
4) discriminant neighborhood embedding(DNE)
判别邻域嵌入(DNE)
5) Neighborhood Preserving Embedding (NPE)
保持邻域嵌入
1.
In order to make full use of the classification information of samples to increase the recognition performance of Neighborhood Preserving Embedding (NPE),a face recognition algorithm based on Supervised Neighborhood Preserving Embedding (SNPE) was proposed.
为了充分利用样本的类别信息,提高保持邻域嵌入算法在人脸识别中的识别性能,提出一种基于有监督保持邻域嵌入人脸识别方法(SNPE)。
6) k-nearest neighbor decision
k-最近邻判别
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