1) neighborhood preserving embedding
近邻保持嵌入
2) 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
3) Supervised Neighborhood Preserving Embedding(SNPE)
有监督近邻保持嵌入(SNPE)
4) 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)。
5) center based neighborhood embedding
中心近邻嵌入
1.
In this paper,a novel learning algorithm called center based neighborhood embedding(CNE) is proposed to deal with face recognition.
针对人脸识别问题,提出了一种中心近邻嵌入的学习算法,其与经典的局部线性嵌入和保局映射不同,它是一种有监督的线性降维方法。
6) Neighborhood Preserving Projections(NPP)
保持近邻投影
1.
Neighborhood Preserving Projections(NPP) is a method for unsupervised linear dimensionality reduction, which can preserve the local neighborhood structure on the data manifold.
保持近邻投影是一种无监督线性降维方法,具有保持数据流形上局部近邻结构特性,但应用到分类任务时具有局限性,如忽略类标签的信息。
补充资料：近邻
挨得较近的邻居：远亲不如～。
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