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.
Text-feature-dimension-reduction
- 关键词:文本分类 特征降维 规则抽取 模式聚合 粗糙集 -Keywords: text classification feature dimension reduction rule extraction model aggregation 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.
PCA
- 针对稀疏表示识别方法需要大量样本训练过完备字典且特征冗余度较高的问题，提出了结合过完备字典学习与PCA降维的小样本语音情感识别算法.该方法首先用PCA降维方法将特征降维，再将处理后的特征用于过完备字典训练与稀疏表示识别方法，从而给出了语音情感特征的稀疏表示方法，并确定了新算法的具体步骤.为验证其有效性，在同等特征维数下，将方法与BP, SVM进行比较，并对比、分析语音情感特征稀疏化前后对语音情感识别率、时间效率以及空间效率的影响.试验结果表明，所提出方法的识别率比SVM与BP高 与采用稀疏化前的
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