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Description: 含有pca和kpca算法，具有很好的在图像处理方面的应用-contain pca and kpca algorithm, is very good in image processing the application
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Size: 12551 |
Author: yssx090 |
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Description: 含有pca和kpca算法，具有很好的在图像处理方面的应用-contain pca and kpca algorithm, is very good in image processing the application
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Size: 12288 |
Author: yssx090 |
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Description: 现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。-existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.
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Size: 2048 |
Author: 小弟 |
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Description: KPCA主要在图像去噪声方面有应用。此外还可以进行特征提取，降维使用 -KPCA major noise in the image to have the application. In addition can also be used for feature extraction, dimensionality reduction using
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Size: 1024 |
Author: videohu |
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Description:
在特征提取阶段，研究了PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA等多
种方法。不同于基于图象向量的PCA特征提取，由于2DPCA, (2D) ZPCA, DiagPCA和
DiagPCA-I-2DPCA的特征提取都直接基于图象矩阵，计算量小，所以特征的提取速度明
显高于PCA方法。-In the feature extraction stage, the study of the PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA and other methods. Vector is different from the PCA-based image feature extraction, as 2DPCA, (2D) ZPCA, DiagPCA and DiagPCA-I-2DPCA the feature extraction are directly based on image matrix, a small amount of calculation, so the speed of feature extraction method was significantly higher than PCA .
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Size: 45056 |
Author: 付采 |
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Description: 主成分分析，人脸识别，模式识别，对图像处理有点帮助-Principal component analysis, face recognition, pattern recognition, image processing for a little help
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Size: 2048 |
Author: ydq |
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Description: 图像压缩的功能，提取图像信息以及最后的图像增强-image enhancement
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Size: 1024 |
Author: 柯柯 |
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Description: 基于matlab的二维图像的KPCA特征提取-KPCA feature extraction from image by matlab
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Size: 1024 |
Author: 张霞 |
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Description: 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验.
-Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and recognition test.
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Size: 1024 |
Author: 李海 |
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Description: kpca程序代码，用于图形图像处理，很经典的算法程序-kpca code for the graphic image processing, it is the classic algorithm program
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Size: 1024 |
Author: xue |
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Description: KPCA主要在图像去噪声方面有应用。此外还可以进行特征提取，降维使用.-KPCA major noise in the image to have the application. You can also feature extraction using dimension reduction.
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Size: 2048 |
Author: lp |
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Description: 图像识别中的降维算法，KPCA算法，主要使用了线性代数和矩阵的知识。-Image recognition of the descending dimension algorithm, KPCA algorithm, the main use of the knowledge of linear algebra and matrix
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Size: 4096 |
Author: |
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Description: 模式识别特征提取，及扩展后的和特征提取，处理图像的时候可以考虑-Pattern recognition feature extraction, and expanded and feature extraction, image can be considered
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Size: 3072 |
Author: wangxiaochun |
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Description: kPCA程序，输入相应的参数后，可以直接运行，能应用到图像的特征提取与去噪等方面-kPCA program input parameters can be run directly, can be applied to image feature extraction and denoising
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Size: 1024 |
Author: 于佳平 |
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Description: 实现2维核PCA的图像特征提取及识别功能-2-dimensional KPCA image feature extraction and recognition
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Size: 1024 |
Author: 戈遥 |
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Description: 子空间的方法，KPCA matlab程序，可以实现对掌纹图像的特征提取和匹配。-Subspace methods, KPCA matlab program, you can achieve the palmprint image feature extraction and matching.
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Size: 1024 |
Author: 刘东 |
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Description: 主成分分析(Principle Component Analysis, PCA)是最为常用的特征提取方法，被广泛应用到各领域，如图像处理、综合评价、语音识别、故障诊断等。-Principal component analysis (Principle Component Analysis, PCA) is the most commonly used feature extraction methods are widely applied to various fields, such as image processing, comprehensive evaluation, speech recognition, fault diagnosis.
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Size: 506880 |
Author: 老鹰 |
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Description: KPCA Algorithm (image processing)
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Size: 3072 |
Author: md adil |
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Description: 实现kPCA算法，用于数据降维图像处理等多领域。本程序包可选用多种核函数，且可以直接增添新的数据点，方便快捷。(KPCA algorithm, for data reduction, image processing and many other fields. This package can use a variety of kernel functions, and can directly add new data points, convenient and quick.)
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Size: 5120 |
Author: huagliu
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Description: 降维，用作聚类算法使用。具有很好效果，可以用作图像去噪(Dimensionality reduction is used as a clustering algorithm. It has good effect and can be used for image denoising.)
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Size: 2048 |
Author: 王琳琳 |
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