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搜索资源 - Locality Preserving Projection
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matlab code for run the algorithm of Locality Preserving Projection
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Infrared moving target detection and tracking based on tensor locality
preserving projection
Hong Li a, Yantao Wei a, Luoqing Li b,*, Yuan Y. Tang c,d
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有监督直接局部保持投影的人脸识别Directly supervised locality preserving projection of the face recognition-Directly supervised locality preserving projection of the face recognition
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该方法是基于保持数据局部流形的降维方法,在降维后的低维空间能较好的保持其局部子流形-Locality Preserving Projection (You need to download LGE.m as well as constructW.m).
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提出的正交LPP具有的优良特性是:能够较好的重构数据,并包含较好的判别能力-The orthogonal locality
preserving projection (OLPP) method produces orthogonal basis functions
and can have more locality preserving power than LPP. Since the locality
preserving power is potentially relat
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保局投影(LPP)作为拉普拉斯特征映射的一种线性逼近可以较好的反映样本的流形结构,已经被广泛的应用到图像检索和图像修复中。线性鉴别分析( LDA)和局部保持投影(LPP)是其中比较经典的线性方法,LDA注重图像数据间的可分性,LPP则更关注于数据的局部关系- Locality Preserving Projection
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Matlab针对各种数据预处理的降维方法,源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques:
Principal Component Analysis (PCA)
Probabilistic PCA
Factor Analysis (FA)
Sammon mapping
Lin
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人脸识别的LPP方法的源代码,保局投影(LPP)作为拉普拉斯特征映射的一种线性逼近可以较好的反映样本的流形结构-LPP method for face recognition source code, locality preserving projection (LPP) manifold structure as a linear Laplasse feature mapping approach can better reflect the sample
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Locality Preserving Projections(LPP),局部保留投影,可以找出高维空间中的数据在低维空间中的投影,并保留了数据之间的相关性-Locality Preserving Projections (LPP), partial retention projection, you can find the data in high-dimensional space in a low dimensional space projection, and retains the
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基于张量的局部保持投影算法,用于特征提取,维数约简。-Tensor based Locality Preserving Projection for feature extraction
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局部保持投影算法,机器学习中流形算法,L-Locality preserving projection algorithms, machine learning algorithms flowing shape, LPP
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该源代码是人脸识别中的二维单项局部保持投影算法2DDLPP,源代码下载后就可以执行,简单,易理解。-The source code is a two-dimensional face recognition single locality preserving projection algorithm 2DDLPP, after downloading the source code can be executed, simple and easy to understand.
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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
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用于降维的算法,优秀算法,所以推荐给大家。(Locality Preserving Projection)
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