搜索资源列表
KPCA.rar
- 一个很好的PCA程序。它可用于数据的降维，消噪及特征提取。,A good PCA procedures. It can be used for data dimensionality reduction, de-noising and feature extraction.
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
daima
- （压缩包里一共有5个代码） pca+lda+粗糙集+模糊神经网络 saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat 1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat 2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat
eigenvalue_computation.tar
- 快速PCA计算方法，有效实现降维等操作，和特征选择-Fast PCA method of calculation of effective dimension reduction and other operations, and feature selection
CCA_zq
- 用于特征降维，特征融合，相关分析等多元数据分析的典型相关分析Matlab代码实现。-For feature reduction, feature fusion, correlation analysis, multivariate data analysis, canonical correlation analysis of Matlab code implementation.
DCCA_zq
- 用于特征降维，特征融合，相关分析等多元数据分析的鉴别型典型相关分析（DCCA）Matlab代码实现。-For feature reduction, feature fusion, multivariate data analysis and correlation analysis based identification of canonical correlation analysis (DCCA) Matlab code implementation.
GCCA_zq
- 用于特征降维，特征融合，相关分析等多元数据分析的广义典型相关分析（GCCA）Matlab代码实现。-For feature reduction, feature fusion, correlation analysis, multivariate data analysis using generalized canonical correlation analysis (GCCA) Matlab code implementation.
LDA_zq
- 用于特征降维，特征融合，相关分析等多元数据分析的fisher鉴别分析（FLDA）Matlab代码实现。-For feature reduction, feature fusion, correlation analysis, multivariate data analysis of the fisher discriminant analysis (FLDA) Matlab code implementation.
PCADR
- 用于特征降维人脸识别等多元数据分析的主分量分析投影的Matlab代码实现。-For feature reduction and other multivariate data analysis, face recognition principal component analysis projection of the Matlab code implementation.
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
jiangwei
- 高维数据特征降维综述，电子书格式，欢迎下载-High-dimensional data feature reduction review, e-book format, please download ~ ~ ~ ~
Eigenface
- 人脸特征降维，提取特征人脸，将像素空间映射到人脸空间，计算人脸特征向量，人脸识别-Facial feature reduction, feature extraction face, the pixel space is mapped into the face space and face feature vector computation, face recognition
REDUCTION-FOR-MIL--
- 为MIL,即multiple instance learning,多实例学习，来进行特征降维，大大减少计算量。2010年,IEEE收录的。-MIL, the multiple the instance learning and multi-instance learning for feature dimensionality reduction, greatly reduce the amount of calculation. In 2010, the IEEE included.
CT-tracking
- 一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒-A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP co
reduce-the-dimension-of-feature
- 改程序勇于特征降维。使用PCA的方法降低特征维度-Courage to change the feature dimension reduction program. Use PCA method to reduce the dimension feature
high-quality-PCA-LDA-code
- 质量很高的一个PCA-LDA特征降维代码，附一个LDA简单学习实例。-A high-quality PCA-LDA feature reduction code attached a simple learning example of LDA.
brdks
- Achieve serial data acquisition, For feature reduction, feature fusion, correlation analysis, Compared with the results of theoretical analysis.
3238
- The IMC - PID is using the internal model control principle for PID parameters is calculated, Use Chaos and fractal analysis routines, For feature reduction, feature fusion, correlation analysis.
8635
- Modeling and simulation pwm rectifier For feature reduction, feature fusion, correlation analysis, Dual-line interpolation FFT harmonic analysis kaiser windows.
cqtvf
- For feature reduction, feature fusion, correlation analysis, Car class-based truck driver trying to Matlab program, Matlab to achieve user-friendly.