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Description: 一种与PCA,LDA并行降维方法。里面含有相关的论文及源代码
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Size: 1732748 |
Author: sunyaxin2005@163.com |
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Description: 机器学习中几种典型的降维方法， PCA, LDA等-typical feature extraction methods(PCA, LDA) in machine learning
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Size: 8192 |
Author: 张小云 |
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Description: 使用matlab自己编写的pca+lda方法，大家一起分享-pca and lda in matlab by myself,we will share together
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Size: 1024 |
Author: 黄晓威 |
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Description: 这个程序是做课程设计用的，希望对有需要的同学进行有帮助，PCA+LDA经典人脸识别算法，先用PCA降维，再用LCA降维-This procedure is done with the course design, and I hope there is a need for students to help, PCA+LDA classical face recognition algorithms, first PCA dimension reduction, reuse LCA dimension reduction
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Size: 3072 |
Author: 王斌 |
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Description: 这个程序是在国外的网站下载，希望对有需要的同学有用，PCA+LDA经典人脸识别算法，先用PCA降维，再用LCA降维-This program is downloaded from the website in a foreign country, I hope to needy students useful, PCA+LDA classical face recognition algorithms, first PCA dimension reduction, reuse LCA dimension reduction
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Size: 29696 |
Author: 王斌 |
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Description: 自己写的matlab GUI界面，可进行PCA分析及LDA分类，附有光谱数据模拟-Write your own matlab GUI interface of PCA and LDA can be classified with spectral data simulation
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Size: 631808 |
Author: mellow |
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Description: this program will help you to perform LDA and PCA signal processing tools for classifing
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Size: 675840 |
Author: mostafap |
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Description: 运用PCA和LDA进行人脸识别的MATLAB代码
-do the face recognition use the principal component analysis and linear discriminant analysis
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Size: 352256 |
Author: 庄新磊 |
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Description: 人脸识别经典方法,主成分分析（PCA），线性鉴别分析（LDA）-Face the classical method, principal component analysis (PCA), linear discriminant analysis (LDA)
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Size: 543744 |
Author: chensugen |
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Description: 在这篇文章中，我们主要阐述了基于PCA和LDA的人脸识别技术。这个技术包含两个步骤：首先，我们通过PCA将人脸图片从原始向量空间中提取到子向量空间——特征脸空间；然后，再通过LDA获得一个线性分类器。-In this article, we mainly elaborated based on PCA and LDA face recognition technology. This technique consists of two steps: First, we will face images extracted from the original vector space to sub-vector space by PCA- Eigenface space Then, LDA obtained by a linear classifier.
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Size: 28672 |
Author: zhengluping |
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Description: 人脸识别源码 其中包括有PCA LDA LPP算法，-PCA LDA LPP
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Size: 16384 |
Author: tony |
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Description: 统计模式识别，包括PCA LDA SVM-Statistical pattern recognition, including the PCA LDA SVM
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Size: 4293632 |
Author: zouhangda |
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Description: this paper has used gabor filter for feature extraction and for feature reduction PCA+LDA has been used. for classification minimum distance classifier is used. PCA+LDA shows better performance than PCA or LDA alone
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Size: 307200 |
Author: nanhi |
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Description: 最新最强MATLAB降维工具箱，可用于人脸识别，模式识别，机器学习，数据挖掘，图像处理等领域，里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian，LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, data mining, and other areas of image processing, which contains the algorithm PCA, LDA, KPCA, KLDA, Laplacian, LPP, MDS, NPE, SPE, LLC, CFA, MCML, LMNN etc.
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Size: 1042432 |
Author: FDX |
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Description: 基于PCA+LDA的人耳识别算法，并用GUI设计用户窗口-PCA+LDA recognition algorithm based on the human ear, and the design of the user with a GUI window
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Size: 4096 |
Author: Goodays7 |
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Description: PCA+LDA人脸识别，PCA降维到N-C,（N为训练样本数，C为类别数）使得Sw非奇异，主要是解决小样本，数据集为ORL，每类取9（可改）个图片-PCA+LDA recognition, PCA dimensionality reduction to NC, (N is the number of training samples, C is the number of categories) make Sw nonsingular, mainly to resolve the small sample, the data set for the ORL, taking every class 9 (can be changed) a picture
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Size: 8192 |
Author: 朱德祥 |
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Description: pca lda kpca klda lpp matlab 特征降为方法，对于新手比较有用。-pca lda kpca klda lpp matlab code for dimension reduction. these are very useful for new researchers.
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Size: 35840 |
Author: shaoyx |
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Description: PCA,LDA 的文档描述，以及KPCA,LDA 的matlab 代码-PCA，LDA, kPCA
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Size: 1543168 |
Author: 李伟 |
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Description: PCA + LDA 人脸识别，照着论文写得，大家可以参考-PCA+ LDA face recognition, according to paper to write, you can reference
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Size: 1024 |
Author: tangjun |
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Description: 没有使用matlab自带工具包，而是使用了自写的PCA，来用其对数据进行线性分类。-without using the toolbox given by matlab，i write pca myself and implement it into LDA classification.
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Size: 1024 |
Author: Olivia |
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