搜索资源列表
LocalityPPreservingPProjections
- 局部投影算法（代码+论文）， 实现Locality Preserving Projections (LPP)，LLP可代替PCA做特征提取- Locality Preserving Projections (LPP)
dim---reduction
- 数据降维的击几种处理方法，包括LPP,CCA等维数约减的方法，很适合处理低维数据-Hit several methods of data dimension reduction process, including LPP, CCA and other dimensionality reduction method is suitable for handling low-dimensional data
research-of-amanifold-learning
- 基于拉普拉斯特征映射(LE)算法的保局投影(LPP)算法不仅可以保持流 形学习的能力,而且具有线性方法计算简单、直观快捷的优点。我们的研究表明, LPP算法在用于W七b图像检索时具有明显的优势。本论文的工作集中于LPP算法 应用于W亡b图像检索时的相关研究:包括LPP图像降维算法的优化研究以及结合 相关反馈技术的LPP算法研究-Recently,calityPreservingProjections(LPP)hasshownitsaPPlieabilityinmanyareasi
LPP_AR
- 基于AR人脸库的LPP人脸识别算法，人脸识别人脸识别-LPP face recognition algorithm based on AR face
GLPP_codes
- GLPP算法，LPP算法的基础上加了Global，是一种人脸识别算法-An algorithm for face recognition
GoLPP
- D MANUSC Graph-optimized Locality Preserving Projections (GoLPP) algorithm [28]. GoLPP integrated the graph construction and a specific dimensionality reduction process (i.e. LPP) into a unified framework, which results in a simultaneous learni
Facial_Features
- 基于lpp的表情识别算法，基于的平台是matlab，代码比较简单，适合新手学习。-face detection base on lpp
LPP代码
- 里面记录了保局投影算法的详细代码以及注释，希望对做图像识别与处理相关的学生有所帮助。
LAB
- graphical method for LPP
OLPP
- 在LPP基础上提出的正交局部邻域嵌入算法，相对于LPP算法，性能更好，可用于数据的降维与分类(The orthogonal local neighborhood embedding algorithm based on LPP has better performance than LPP algorithm and can be used to reduce dimension and classify data)
LPP程序
- MATLAB编写的人脸特征提取代码，叫局部保持投影特征提取算法，可以作为人脸识别系统一部分(MATLAB prepared by the facial feature extraction code, called the local projection feature extraction algorithm can be used as part of the face recognition system,feature exaction.)
drtoolbox
- 包含多种常用维数优化算法及应用，PCA , ICA, LDA，LFA LPP，KPCA 等等。(There are many Dimensionality Reduction methods including PCA , ICA, KICA and so on.)
LPPmatlab
- 在降维的同时保持样本固有的局部流行结构不变(Locality Preserving Projections)
LPP算法
- 对高维数据进行特征两提取,提高数据分类速度,可用于故障诊断数据的特征量提取.