搜索资源列表
Basedonsampleandkerneldynamicmeans
- 基于样本和主轴核函数的相似度的动态聚类算法程序-based on samples and nuclear spindle function of the similarity dynamic clustering algorithm procedures
40484845gaussian-core
- 本程序实现高斯核函数的计算，用户可以定义模版的长度和参数的大小，最后生成高斯平滑滤波模版，对图像进行滤波效果明显，可以方便地添加到开发程序当中，为你节省不少时间，下载吧@
meanshit
- 利用meanshift进行图象分割程序,核函数采用线性和高斯两种方式，可以任意选择-Meanshift carried out using image segmentation procedures, the nuclear linear and Gaussian function in two ways, you can choose
gaborfunction
- gabor_function1该程序对Gabor核函数某个尺度和方位的三维形状和二维平面图像进行显示 gabor_function2该程序对Gabor核函数五个尺度和八个方位的二维平面图像进行显示，共产生40个二维平面图像 这两个程序对理解gabor小波很有帮助哦-gabor_function1 the program of Gabor kernel function of a scale and orientation of the three-dimensional shape an
chengxu1
- 支持向量机的程序，本程序选用径向基函数作为核函数，测试样本随机取，可根据具体情况运用。-Support vector machine procedures, the procedures used radial basis function as kernel function, the test samples were taken, according to the specific circumstances of use.
Matlab_SVM
- SVM实现数据分类，可自行选取核函数，用于图像分割操作。程序可自动训练分类平面。-SVM for data classification, are free to select the kernel function，For image segmentation operation. The program can automatically train classifiers plane.
rbf-kernelsvmdemo
- 支持向量机的演示程序，可以学习到支持向量机的工作原理及变成机理。核函数是RBF核函数-Support vector machine (SVM) demo, can learn to the working principle of support vector machine (SVM) and become a mechanism. Kernel function is RBF kernel function
KGE.m
- 核图像嵌入，函数形式可以直接调用，内含程序说明-Nuclear image embedding function form can be called directly, containing program instructions
SVM
- 支持向量机SVM和核函数的MATLAB程序集,用于图形处理的算法，分类算法-pca and svm use MATLAB
PCA-SVM
- 本程序使用MATLAAB R2014a 编写，基于PCA_SVM的人脸识别程序。程序包括主成份分析、SVM核函数，并附带了人脸库，使之能够直接调用人脸库图像进行人脸识别-The program uses MATLAAB R2014a written procedure based on recognition of PCA_SVM. Program includes principal component analysis, SVM kernel function, and comes face
sobel
- 主要是利用C++和核函数实现彩色图像的sobel边缘检测，此程序简单便于理解。-Mainly using c++ and kernel function to realize sobel edge detection of color image, the program simple and easy to understand.
kPCA
- 实现kPCA算法，用于数据降维图像处理等多领域。本程序包可选用多种核函数，且可以直接增添新的数据点，方便快捷。(KPCA algorithm, for data reduction, image processing and many other fields. This package can use a variety of kernel functions, and can directly add new data points, convenient and quick.)