2) 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。
3) local projection
局部投影
1.
An improved neighborhood selection method for local projection noise reduction
局部投影去噪的一种改进的邻域选取方法
2.
A local projection noise reduction for nonlinear time series is introduced into fault diagnosis field.
将非线性时间序列的局部投影消噪算法引入到故障诊断领域中,并应用改进的局部投影算法对齿轮箱箱体表面振动信号进行消噪,最后通过计算关联距离熵来进行齿轮箱故障诊断,实验证明,该方法能达到很好的诊断效果。
3.
Although widely applied in nonlinear time series analysis,the performance of noise reduction method via local projection is greatly influenced by the selection of neighborhood.
局部投影降噪算法已广泛应用于非线性时间序列的分析中,但受邻域选取的影响较大。
4) local projective
局部投影
1.
A low frequency rolling bearing fault diagnosis method based on local projective noise reduction;
基于局部投影降噪的低频轴承故障诊断
2.
Experiment indicates that the local projective algorithm can separate background signals and weak fea-ture signals into different orthogona1 sub-spaces.
综合局部投影算法及小波变换两者的优点,提出了基于局部投影和小波降噪的弱冲击信号的提取方法。
5) 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。
6) globular projection
全球投影
补充资料：全局
1.整个的局面。
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