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androidkernelanalysis.rar
- android的内核分析的文章，一个相当不错的文档！希望能对大家有所帮助！,android kernel analysis of articles, a pretty good document! Hope you can help!
Kernel-K_means
- 用IDL与ENVI二次开发进行非监督分类的Kernel K_means算法，强大实用-Use IDL and ENVI for the secondary development of Kernel K_means unsupervised classification algorithm, a powerful and practical
Face_Recognition.zip
- Face Recognition, Face Detection, Lausanne Protocol, 3D Face Reconstruction, Principal Component Analysis, Fisher Linear Discriminant Analysis, Locality Preserving Projections, Kernel Fisher Discriminant Analysis,Face Recognition, Face Detection, L
KPCA
- kernel PCA
KernelTracking
- A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kern
KernelObjectTrack
- Kernel Object Tracking算法实现代码，自己本科毕设！-Kernel Object Tracking algorithm code, we completed the set up their own!
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
1
- 自适应核密度估计运动检测方法 提出一种自适应的核密度(kernel density estimation, KDE)估计运动检测算法. 算法首先提出一种自适应前景、背景阈值的双阈值选择方法, 用于像素分类. 该方法用双阈值能克服用单阈值分类存在的不足, 阈值的选择能自适应进行, 且能适应不同的场景. 在此基础上, 本文提出了基于概率的背景更新模型, 按照像素的概率来更新背景, 并利用帧间差分背景模型和KDE分类结果, 来解决背景更新中的死锁问题, 同时检测背景的突然变化. 实验证明了所提出
pcajiafisher
- pca+fisher是将核函数应用到人脸识别研究中去-pca+ fisher is the kernel function is applied to face recognition research go
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
KFCMClust529
- 标准的模糊C聚类算法程序，做聚类图像处理的非常有用-the corresponding algorithms are called kernel fuzzy c-means (KFCM) and kernel possibilistic c-means (KPCM) algorithms. And some test results are given to illustrate the advantages of the proposed algorithms over
kde2d
- fast and accurate state-of-the-art bivariate kernel density estimator
TatukGIS_Developer_Kernel_v7.3.1_Full_Source_For_
- TatukGis Developer Kernel Bianries
kernel
- Kernel-based 图像去噪和复原算法，是一种基于图像局部特征的复原方法。-Kernel-based algorithm for image denoising and restoration, is a local feature of image-based recovery methods.
kernel-ica1_1
- 基于核函数的主分量分析法源代码，可用于人脸识别-Kernel-based principal component analysis source code, can be used for face recognition
kht_sandbox-1.0.2-source
- HOUGH TRANSFORM,用于直线检测！-KERNEL-BASED HOUGH TRANSFORM FOR DETECTING STRAIGHT LINES IN IMAGES
hehanshufcm
- 用Matlab实现基于核函数的C均值聚类图像分割，实验好，好用-Using Matlab implementation of kernel-based C-means clustering image segmentation, experimental is good, easy to use
pcakenelfunction
- pca分解的核函数，在pca分解中可以用到，特别是分解的矩阵维数比较高的情况下，通过svd分解获得pca基-pca decomposition of the kernel function, in the pca decomposition can be used, in particular the decomposition of the matrix of higher dimension, through the svd decomposition was pca-based
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