搜索资源列表
SVregression
- In kernel ridge regression we have seen the final solution was not sparse in the variables ® . We will now formulate a regression method that is sparse, i.e. it has the concept of support vectors that determine the solution. The thing to not
kfcm
- 基于核的FCM，可以用于聚类或者图像分割，但运行速度不是很快 自己不知道如何优化-Kernel-based FCM, can be used for clustering or image segmentation, but the speed is not fast they do not know how to optimize
svclassify
- A method for classification of image using svm kernel
KPCA
- 核主成分分析方法，是主成分分析的一种改进算法，是一种非线性的特征提取方法。 -Kernel principal component analysis, is the principal component analysis of an improved algorithm, is a nonlinear feature extraction method.
kfcm
- 基于核函数的模糊C聚类均值（fcm）算法-FCM algorithm based on kernel function
KPCA
- 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验. -Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and reco
gabor_image_paper
- Example of a two-dimensional Gabor filterIn image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for edge detection. Frequency and orientation representations of Gabor filter are similar to those of human visual system,
facerecgnize
- 模式识别课程作业，pca和kpca，以及一个人脸可。其中kpca的核函数是多项式。-Pattern Recognition course assignments, pca and kpca, and a person can face. Where the kernel function is polynomial kpca.
KernelLPP
- kernel linear PP analysis code by matlab
hehanshu
- 用于核函数的选择，也是基于最小二乘支持向量机预测问题的好帮手，希望能够搬到大家。-For the selection of kernel function, is also based on support vector machine prediction is a good helper, hoping to move to you.
SVMandKERLandMATLAB
- 支持向量机SVM和核函数kerl的matlab程序合集-Support Vector Machine SVM and kernel kerl the collection matlab program
svm_kernel_demo
- 利用polynomial order kernel function来秀出SVM执行时可能产生出来的错误并汇图表示-Use of polynomial order kernel function to SVM showed off that may arise out of implementation errors and exchange graph
kernelbasedmoothing
- 基于核函数回归方法的图像去噪，图像平滑。对于图像领域的研究者有很大作用-Kernel regression method based on image denoising, image smoothing. Researchers in the field for the image plays a significant role
kde
- 本程序是一维密度估计，用于了解和密度估计有很大帮助。-One-dimensional kernel density estimation
laplacian_eigen
- Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of
WPKLS
- 提出了基于小波核函数的偏最小二乘方法对混沌信号进行了有效拟合，得到了很好的效果。-Based on wavelet kernel function of the partial least squares method of fitting the effective chaotic signal obtained very good results.
SKMsmo
- 用来实现支持向量机的多核学习的SMO 算法-smo algorithm for multiple kernel learning
SVM
- 支持向量机SVM和核函数的matlab程序集,压缩包中包含常用的各种SVM函数，-Support vector machine and kernel function SVM matlab assembly, compressed package that contains a variety of commonly used SVM function
laplacian_eigen
- 拉普拉斯特征映射，采用热核构造权重，是一种基于流行学习的非线性降维技术，可用于图像分割提高聚类的性能-Laplacian Eigenmap is a kind of nonlinear dimensionality reduction technique which based on manifold study, it choose the weights W using the heat kernel and it can be used for image segmentation to
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- mATLAB CODE FOR gAUSSIAN KERNEL