搜索资源列表
FaceRecognitionUsingKernelDirectDiscriminantAnalys
- Face Recognition Using Kernel Direct Discriminant Analysis Algorithms and Matlab source codes for the kernel direct discriminant analysis (KDDA) -Face Recognition Using Kernel Direct Disc riminant Analysis Algorithms and Matlab sourc e codes for th
gaussian.rar
- 高斯滤波核函数生成,可以根据K和要生成对应的高斯核,Gaussian filter kernel generation, according to K and to generate the corresponding Gaussian kernel
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
drtoolbox.tar
- 这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值- ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techn
KPCA
- 为解决PCA不适合多指标综合分析中非线性主成分分析的问题 ,采用核主成分分析 (kpca)方法 ,对我国不同地区 16种腐乳的品质进行了综合评价。 -PCA is not suitable to address the many indicators of a comprehensive analysis of non-linear principal component analysis of the problem, using Kernel Principal Component An
Kernel_for_Discrete_LTI_Inverse_Problems
- 3D Reconstruction related-Generates the kernel of linear convolution used to model discrete LTI inverse problems
kde2d
- fast and accurate state-of-the-art bivariate kernel density estimator
my_function_1
- ica 核独立主元分析（kernel independent component analysis)软件包-kica
Kernel Based Deblurring ToolBox ver
- 运用核回归方法去模糊的经典程序，效果很好，有参考文献-using kernel regression for image deblurring,it s very effective
KLFDA
- 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.
kfcm
- 基于核函数的模糊C聚类均值（fcm）算法-FCM algorithm based on kernel function
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.
kernel-regerrsion-denoise-Examples
- 用核回归方法实现图像去噪是目前理论上最先进的图像去噪方法，这里提供的是图像去噪的matlab代码。-Kernel regression method with denoising is theoretically the most advanced image denoising method, here is the matlab code for image denoising.
kernel-0.0.1
- 一个外国人写的matlab代码，实现功能：用泊松方程实现二维彩色图像的无缝拼接。-Matlab code written by a foreigner functions: image blending using the Poisson equation.
matlab
- 模糊核聚类图像分割，有很好的实例和码源，值得大家学习。-Fuzzy kernel clustering image segmentation, a very good examples and source code, worth learning.
Matlab-code-for-DTS
- It contains the source code for Kernel Learning for Dynamic Texture Synthesis published in IEEE Transactions on Image Processing-It contains the source code for Kernel Learning for Dynamic Texture Synthesis published in IEEE Transactions on Im
Brain_Tumor
- AN MR BRAIN IMAGES CLASSIFIER VIA PRINCIPAL COMPONENT ANALYSIS AND KERNEL SUPPORT VECTOR MACHINE
MCWNNM_ICCV2017-master
- MCWNNM，多通道加权核范数；加权核范数可用于处理颜色图像、能谱图像的去噪。(MCWNNM, multi channel weighted kernel norm, weighted kernel norm can be used to deal with color images and denoising of energy spectrum images.)
matlab-blinddeconv
- 盲去卷积，实现图像的高分辨 准确估计模糊核(a novel scale-invariant regularizer that compensates for the attenuation of high frequencies and therefore greatly stabilizes the kernel estimation process.)
TNNR_code
- 截断核范数程序，admm和apg的实现过程(Truncation of kernel norm programs, the implementation of ADMM and APG)