搜索资源列表
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
pca-vector
- pca特征向量提取 利用pca的方法获取特征植及特征向量 最后可以自己根据需要降维-pca pca feature vector extraction method using characteristics of plants and to obtain the final feature vector dimension reduction can be their own as needed
210
- Feature Reduction for High-Precision Text Classification
Rough-Set-Attribute-Reduction
- 基于粗糙集的特征选择Matlab源程序。-Feature selection based on rough set.
drtoolbox
- feature reduction , pricipal component analysis,lda,... and other technics
PCA-LDA
- it is PCA-LDA matlab code. (feature reduction)
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
1111_10
- 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
ISOMAP
- This the matlab code for the ISOMAP function. A very useful algorithm used in pattern recognition applications when feature reduction is required.-This is the matlab code for the ISOMAP function. A very useful algorithm used in pattern recognition ap
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.
numberRec
- 按照模式识别系统组成,介绍手写数字自动识别技术的四个连续处理过程:数字图像预处理,特征提取,粗糙集特征约简和数字识别四个连续的过程。-In accordance with the pattern recognition system components, introduces four consecutive processing digital automatic handwriting recognition technology process: digital image prepro
qijieju
- 七阶矩特征作为特征级融合至关重要的一个特征,提取七阶矩特征对于特征约简和模式识别很重要。-Seven moments of feature extraction is vital for the fusion of feature set, seven moments of feature extracting is very helpful for feature reduction and recognition.
bcknmnzz
- 代码里有很完整的注释和解释,用于特征降维,特征融合,相关分析等,IDW距离反比加权方法,进行波形数据分析,调试通过可以使用,使用混沌与分形分析的例程。- Code, there are very complete notes and explanations For feature reduction, feature fusion, correlation analysis, IDW inverse distance weighting method, Waveform data analys
cegxnsqd
- 包括面积、周长、矩形度、伸长度,IDW距离反比加权方法,直线阵采用切比学夫加权控制主旁瓣比,一个很有用的程序,用于特征降维,特征融合,相关分析等,一种噪声辅助数据分析方法。- Including the area, perimeter, rectangular, elongation, IDW inverse distance weighting method, Linear array using cut than learning laid upon the right control of
jzcqgbcu
- 外文资料里面的源代码,用于特征降维,特征融合,相关分析等,考虑雨衰 阴影 和多径影响,Relief计算分类权重,主要为数据分析和统计,使用高阶累积量对MPSK信号进行调制识别。- Foreign materials inside the source code, For feature reduction, feature fusion, correlation analysis, Consider shadow rain attenuation and multipath effects Re
jzefpcxq
- matlab程序运行时导入数据文件作为输入参数,包含了阵列信号处理的常见算法,正确率可以达到98%,插值与拟合,解方程,数据分析,用于特征降维,特征融合,相关分析等,研究生时的现代信号处理的作业。- Import data files as input parameters matlab program is running, Contains a common array signal processing algorithm, Accuracy can reach 98 , Interpol
rspucjsx
- 使用混沌与分形分析的例程,到达过程是的泊松过程,验证可用,通过matlab代码,多抽样率信号处理,用于特征降维,特征融合,相关分析等。- Use Chaos and fractal analysis routines, Arrival process is a Poisson process, Verification is available, By matlab code, Multirate signal processing, For feature reduction, feature
vxqtezad
- 包括主成分分析、因子分析、贝叶斯分析,添加噪声处理,调试通过可以使用,计算多重分形非趋势波动分析,感应双馈发电机系统的仿真,用于特征降维,特征融合,相关分析等。- Including principal component analysis, factor analysis, Bayesian analysis, Add noise processing, Debugging can be used, Calculate the multifractal trend fluctuation an