1) orthogonal LPP
正交保局投影
1.
A new Alternative formulation of orthogonal LPP with Application to Face Recognition;
一种新的正交保局投影人脸识别方法
2) orthogonal locality preserving discriminant projection
正交局部保持判别投影
1.
It is proposed a novel subspace learning method,called orthogonal locality preserving discriminant projection of regularized least squares.
提出一种新的子空间学习方法:正则化最小二乘的正交局部保持判别投影。
4) orthogonal local projection
正交局部投影
5) locality preserving projections(LPP)
保局投影
1.
Firstly,face images are mapped into low-dimensional manifold subspace using Locality Preserving Projections(LPP).
首先,运用保局投影将图像投影到低维的表情流形子空间,再在流形子空间里对它们进行高阶奇异值分解,最后在个人子空间和表情子空间里完成人脸和表情识别。
6) LPP
保局投影
1.
Locality Preserving Projections (LPP) is based on a nearest neighbor graph which models the local geometrical structure of the image manifold.
保局投影算法的基础是构造一个模拟图像局部结构的最近相邻图,但该最近相邻图并不总能够准确表示图像的流形结构,该文提出了一种基于保局投影的迭代保局投影优化算法。
2.
A Random Sampling Subspace Locality Preserving Projection(RSSLPP) method is proposed to improve the recognition performance of a single Locality Preserving Projection(LPP).
针对单一保局投影(LPP)算法分类识别能力弱的问题,提出了一种随机采样子空间保局投影算法(RSSLPP)。
3.
In view of the problems of feature extraction in face recognition, a new face image feature extraction and recognition method—Gabor Discriminant Locality Preserving Projections (GDLPP) is proposed in this paper.
针对人脸识别中的特征提取问题,本文提出了一种结合Gabor小波特征和判别保局投影的人脸识别算法—GDLPP。
补充资料：局正
1.谓有气度而纯正。
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