搜索资源列表
stprtool.rar
- 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,
rgk.rar
- 信号自适应处理，使用的核函数为高斯径向核函数。,Adaptive signal processing, use the kernel function for the Gaussian radial kernel function.
work
- 高斯核函数，矩阵自身的高斯核函数计算，需要指定参数-Gaussian kernel function, matrix itself Gaussian kernel function, the need to specify the parameters
KGaussian1 高斯核核函数的matlab程序
- 核函数中经常用到的高斯核核函数的matlab程序-Kernel function often used in the Gaussian kernel function matlab nuclear program
dimension
- 代码用于估计关联维数。包括G-P算法(corrint.m)，高斯核关联算法(gka.m) 和Judd算法(judd.m)-Correlation dimension estimation code. Algorithms for estimating the correlation dimension using the grassberger-Proccacia approach (corrint.m), the Gaussian-Kernel algorithm (gka.m) and Ju
kernel
- gaussian kernel with matlab
gkdj
- 以为高斯和密度估计，使用高斯核的非参数密度估计方法，对样本进行概率密度估计，程序中给出了窗宽的估算公式。-That the Gaussian and density estimation, using Gaussian kernel non-parametric density estimation method, the sample probability density estimates, the program gives the formula for bandwidth estim
gaussgradient
- Gradient calculation using first order derivative of Gaussian. by using a 2-D Gaussian kernel, derivatives along x and y directions are calculated
LWLR
- this program compare the Locally Weighted Linear Regression with three diferrent kernel function (gaussian, logistic basis, and Reciprocal Multiquadric) also compare locally weighted by simple Linear Regression.
rgk
- 时频分析工具——径向高斯核时频分布。为了在时频分布平面内不出现交叉项，则在模糊函数域内应有效去除互分量而仅保留自分量。设计一个与信号相匹配的核函数可以达到上述目的。基于信号的径向高斯核时频分布是一种比较理想的时频分布-Optimal radially Gaussian kernel time-frequency representation
GaussianFiltering
- 利用高斯核自行完成高斯平滑。 1.gkernel.m: 创建高斯核。 2.getnorm.m: 将高斯核归一化以求得该核的图像 3.convo.m：不用自带函数求卷积 4.conducting.m: 举例执行程序-1.gkernel.m: Buidling Gaussian kernels. 2.getnorm.m: Normalizing Gaussian kernel in order to display the kernel. 3.convo.m: calcula
diffusion.gaussian.kernel.pdf
- 1D , 2D, N-D gaussian kernel filter
1
- mATLAB CODE FOR gAUSSIAN KERNEL
CCE
- 改代码使用CCE方法来实现数据挖掘中多示例学习的过程。-CCE implements the algorithm described in [1], where Gaussian kernel LibSVM [2] is used as the base learner for transformed feature vectors.
Corner-Detector
- ACCV的一篇论文以及源代码，不是我写的只是搬运到这里而已，具体请访问论文中作者的网页。改进Harris的角点检测，主要改进在：1、是在加权模板选择了各向异性的模板代替了各向同性的高斯模板；2、选择使用多尺度滤波器对图像进行处理，使算法具有一定的多尺度特性。-This is paper with code,which published on ACCV.I m not the author of this paper.If want to know more,please vistor the
fast_cpda
- 一种快速的基于在弦到点距离累技术的角点检测- A Fast Corner Detector Based on the Chord-to-Point Distance Accumulation Technique 1. Find the edge image using the Canny edge detector. 2. Extract edges (curves) from the edge image: 2a. fill gaps if they are
code
- matlab程序：高斯核回带用法的支持向量机，对样本经行训练得到预测模型-matlab program: the Gaussian kernel back with the use of support vector machine prediction model of the samples by the line training
Morlet-Wavelet-Kernel-by-Marcelo-Cicconet
- The Morlet wavelet (or Gabor wavelet) is a wavelet composed of a complex exponential (carrier) multiplied by a Gaussian window (envelope). This wavelet is closely related to human perception, both hearing and vision.
Gaussian
- 通过 Gaussian kernel说明非线性回归分析的算法-Gaussian kernel smoother, Gaussian kernel-based linear regression, RBF kernel regression
KFCM_-Gaussian
- 采用高斯核的模糊C均值聚类代码，仿真论文时验证可使用，含文档示例结果-Gaussian kernel fuzzy C-means clustering code, the use of simulation papers, containing examples