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[AI-NN-PRFisher

Description: Fisher判别,用于模式识别的Fisher线性判别-Fisher Discriminant for pattern recognition Fisher Linear Discriminant
Platform: | Size: 1024 | Author: 张波 | Hits:

[Graph programfs-kfda

Description: Feature scaling for kernel Fisher discriminant analysis using leave-one-out cross validation. FS-KFDA is a package for implementing feature scaling for kernel fisher discriminant analysis.-Feature scaling for kernel Fisher discrim inant analysis using leave-one-out cross vali dation. FS-KFDA is a package for implementing f eature scaling for kernel fisher discriminant analysis.
Platform: | Size: 510976 | Author: | Hits:

[Speech/Voice recognition/combineKLFDA

Description: Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction
Platform: | Size: 1024 | Author: wfs | Hits:

[Graph Recognizepcajiafisher

Description: pca+fisher是将核函数应用到人脸识别研究中去-pca+ fisher is the kernel function is applied to face recognition research go
Platform: | Size: 11264 | Author: zhangwenming | Hits:

[matlabstprtool

Description: 统计模式识别工具箱(Statistical Pattern Recognition Toolbox)包含: 1,Analysis of linear discriminant function 2,Feature extraction: Linear Discriminant Analysis 3,Probability distribution estimation and clustering 4,Support Vector and other Kernel Machines- This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm
Platform: | Size: 4271104 | Author: 查日东 | Hits:

[matlabKLFDA

Description: 这是一个关于Fisher线性判别分析的Matlab的m文件,给出了在高斯核下的程序源码。-This is a Fisher linear discriminant analysis on the Matlab m-file, given the procedures in the lower-Gaussian source.Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.
Platform: | Size: 2048 | Author: gcl | Hits:

[Special EffectsKLFDA

Description: 基于局部Fisher准则的非线性核Fisher辨别分析,应用于有监督的特征提取与高维数据的有效降维。-Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.
Platform: | Size: 2048 | Author: gameshadow | Hits:

[AI-NN-PRfisher-and-Fuzzy-similarity

Description: 通过matlab语言实现Fisher分类和基于核Fisher分类的设计与实现研究和模糊相似关系直接用于分类,实现结果良好,可供大家使用,互相学习。-Fisher classifier matlab language and kernel Fisher classification-based design and realization of fuzzy similarity relations for the classification, to achieve good results for everyone to use, learn from each other.
Platform: | Size: 128000 | Author: 辛力 | Hits:

[AI-NN-PRkernel

Description: 核函数的实现,核分析 和核主成份分析,核Fisher判别 的matlab实现-Nuclear function, nuclear analysis and kernel principal component analysis, kernel Fisher matlab implementation
Platform: | Size: 1024 | Author: liqi | Hits:

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