Description: 核独立主元分析（kernel independent component analysis)软件包，可在MATLAB 5或MATLAB 6环境下运行。-It is a kernel independent component analysis program packet that can be run under MATLAB 5 or MATLAB 6. Platform: |
Size: 14023 |
Author:王晓 |
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Description: The kernel-ica package is a Matlab program that implements the Kernel
ICA algorithm for independent component analysis (ICA). The Kernel ICA
algorithm is based on the minimization of a contrast function based on
kernel ideas. A contrast function measures the statistical dependence
between components, thus when applied to estimated components and
minimized over possible demixing matrices, components that are as
independent as possible are found. Platform: |
Size: 10234 |
Author:薛耀斌 |
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Description: 核独立主元分析（kernel independent component analysis)软件包，可在MATLAB 5或MATLAB 6环境下运行。-It is a kernel independent component analysis program packet that can be run under MATLAB 5 or MATLAB 6. Platform: |
Size: 13312 |
Author:王晓 |
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Description: 这是核函数独立分量分析KICA的源码和相关程序，希望大家用得上。-This is a kernel independent component analysis of the source KICA and related procedures, I hope everyone useful. Platform: |
Size: 35840 |
Author:lyp |
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Description: Kernel Independent Component Analysis.这是核独立元分析的源程序-Kernel Independent Component Analysis. This is the nuclear element analysis of independent source Platform: |
Size: 100352 |
Author:何生 |
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Description: The kernel-ica package is a Matlab program that implements the Kernel
ICA algorithm for independent component analysis (ICA). The Kernel ICA
algorithm is based on the minimization of a contrast function based on
kernel ideas. A contrast function measures the statistical dependence
between components, thus when applied to estimated components and
minimized over possible demixing matrices, components that are as
independent as possible are found. Platform: |
Size: 10240 |
Author:薛耀斌 |
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Description: 基于核独立成分分析的人脸识别.pdf
基于核独立成分分析的人脸识别研究.pdf-Based on Kernel Independent Component Analysis of Face Recognition. Pdf Based on Kernel Independent Component Analysis of Face Recognition. Pdf Platform: |
Size: 369664 |
Author:carl2380 |
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Description: 关于关联向量机应用的最新文献！
提出了一种核主元分析(KPCA)和关联向量机(RVM)相结合的组合建模方法。KPCA-RVM采用KPCA对原始自变量进行非线性变换并提取主成分,形成特征自变量 采用RVM,对KPCA变换后的样本数据进行回归建模,并根据模型的预报能力自适应的确定参与回归的最佳特征变量个数,消除冗余信息干扰,获得强非线性表达能力且预报性能良好的模型。并将KPCA-RVM应用于PTA装置对羧基苯甲醛(4-CBA)含量的软测量建模,结果表明该方法预测精度高于PCA-RVM和RVM。-A novel modeling method integrated KPCA with RVM was proposed. The kernel primary component analysis (KPCA) was employed to identify the principal components from the nonlinear transform data of independent variables, which were regarded as character variables. Regression between character variables and dependent variables was done based on RVM, and the optimal number of the character variables was adaptively determined according to the generalization performance of the regression model. Thus, KPCA-RVM meth... Platform: |
Size: 302080 |
Author:wudh |
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Description: 此工具包包含实现独立成分分析的若干matlab程序-The kernel-ica package is a Matlab program that implements the Kernel
ICA algorithm for independent component analysis (ICA). Platform: |
Size: 27648 |
Author:yuezou |
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Description: 由Hao Shen, Stefanie Jegelka, and Arthur Gretton提供的Fast Kernel ica算法。-Fast Kernel Independent Component Analysis using an Approximate Newton Method by Hao Shen, Stefanie Jegelka, and Arthur Gretton
Platform: |
Size: 126976 |
Author:catkin |
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Description: The kernel-ica package is a Matlab program that implements the Kernel
ICA algorithm for independent component analysis (ICA). The Kernel ICA
algorithm is based on the minimization of a contrast function based on
kernel ideas. A contrast function measures the statistical dependence
between components, thus when applied to estimated components and
minimized over possible demixing matrices, components that are as
independent as possible are found. -The kernel-ica package is a Matlab program that implements the Kernel
ICA algorithm for independent component analysis (ICA). The Kernel ICA
algorithm is based on the minimization of a contrast function based on
kernel ideas. A contrast function measures the statistical dependence
between components, thus when applied to estimated components and
minimized over possible demixing matrices, components that are as
independent as possible are found. Platform: |
Size: 83968 |
Author:Jinxia Zhang |
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Search - kernel independent component analysis