搜索资源列表
C__MATLAB7_work_temporary_twodlpp2
- 2维LPP（2维局部映射保护）代码，可以对图像等二维数据进行降维。-two-dimensional LCDs (two-dimensional mapping of local protection) code, two-dimensional images of data dimensionality reduction.
2dpca
- 基于二维PCA对人脸进行识别，对图像有很好的降维作用，且识别率比pca好-PCA based on two-dimensional human face recognition, the image is very good landing peacekeeping role, and the recognition rate better than pca
LDA
- LDA 的matlab源码实现，Jonathan Huang编写的，是目前唯一可用于且正确的源码，可用于图像特征降维-LDA to achieve the matlab source, Jonathan Huang, prepared, is the only can be used and the correct source, can be used for image feature dimensionality reductio
PCA1
- pca算法，用于数据降维，注释非常详细清晰，-PCA algorithm, for data dimensionality reduction, clear and very detailed notes,
FastICA_25
- 独立分量分析的算法，用于分离出独立分量，用于图像降维，特征提取-Independent component analysis algorithms, used to separate out the independent component for the image dimensionality reduction, feature extraction
drtoolbox.tar
- 这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值- ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhoug
PCA_LDA
- 《机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！-" Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even t
2DPCA
- 2DPCA降维，然后在重构图像，对数据降维者非常有帮助。-2DPCA dimensionality reduction, and then in the reconstructed image, dimensionality reduction of data are very helpful.
ASD
- 自适应子空间分解（ASD）算法的程序。用于高光谱图像降维-ASD on hyperspectral
renlianshibie
- 利用PCA对人脸图像进行降维，然后训练神经网络分类器的Matlab程序-the Matlab in face recoginization using PCA algorithm
pca
- PCA降维方法,这是一个针对图像处理的PCA降维处理方法-The method of PCA,whic is used in the image processing.
PCA
- 对图像进行降维，用少量图像的主成分去描述整个图像以提高系统的效率。-Reduce the dimensions of the image, with a small amount of the principal component image to describe the whole image to improve the efficiency of the system.
empca
- PCA特征降维，用于图像处理人脸识别等模式识别领域和数据挖掘两领域-PCA feature reduction, image processing for face recognition and other pattern recognition and data mining of two areas
LinearDiscriminantAnalysis
- 提出了一种新的基于图像分块重构和线性判别分析相融合的方法，主要用于人脸识别。该方法通过计算两幅图像之间图 像块的重构均值误差，运用线性判别分析求出两幅图像降维后的欧式距离，融合重构误差和欧式距离计算这两幅图像之间的差别 程度。-A new block-based image reconstruction and the integration of linear discriminant analysis method is m
meanshiftsegmentation
- 均值漂移图像分割测试程序,使用meanshift算法对彩色图像进行聚类分割，效果很好，并且显示使用时间、找到的类数，另包含RGB与LUV颜色空间的互相转换，图片矩阵数据转为降维数组等，程序中有详尽的注释和说明，并且配有测试结果图片，非常适合计算机视觉、机器学习、模式识别的朋友参考-failed to translate
pcapro
- 基于主成分分析的PCA算法，利用进行各类图像降维，达到精简计算过程的目的。-PCA based on principal component analysis algorithm for various images using dimensionality reduction to achieve the purpose of streamlining the calculation.
fsvmPpca-face-Recognition
- 首先用PCA对ORA人脸图像降维，然后用模糊支持向量机对提取的特征向量进行分类，识别率较高。-First using PCA for dimensionality reduction ORA face image, and then use fuzzy support vector machine to classify the extracted feature vectors, the recognition rate is hig
example_knn(降维)
- knn降维算法用于图像分类，将所给样本遥感图像按照要求进行分类(KNN dimensionality reduction algorithm for image classification)
PCA
- 采用INP数据（145*145*200），该数据有16个类别， PCA进行数据降维，然后对降维数据采用kNN分类（k=1）。(Using INP data (145*145*200), the data has 16 categories, PCA carries out data reduction, and then uses kNN classification for dimensionality reduction data
PCA
- 用matlab自带的PCA算法对图像进行降维(Dimensionality reduction for images)