搜索资源列表
kdetoolbox(matlab)
- 核密度估计(kde)的工具箱,我是在做背景建模的时候遇到这方面问题找到的,希望对大家有点用处.-nuclear density estimates (kde) Toolbox, I was doing background modeling, encountered this issue to find, and I hope to you a bit useless.
kernel_svm
- 这是我自己写的一个关于svm的核程序,希望对正在学习的朋友有所帮助.-that I wrote on a svm nuclear procedures in the hope that the friends are learning some help.
KFCMClust
- 基于matlab的核模糊C-means聚类算法(KFCM),-Matlab-based nuclear Fuzzy C-means clustering algorithm (SN)
kernel_isomap
- 实现核ISOMAP算法,解决测试点问题和ROBUST问题-nuclear ISOMAP algorithm to solve problems and test questions Facility
i
- 程序代码说明:对癌细胞颜色进行分析，和正常细胞相比，癌细胞的核颜色较深，色彩分量有较大的差异。据此，对癌细胞进行色度学分类识别。-code : right color cell analysis, and compared to normal cells, cancer cells nuclear darker in color, a color component of the larger differences. Accordingly, the cancer classification
KPLS
- 基于核函数的偏最小二乘算法，先对原矩阵进行核函数非线性变化，再用非线性迭代求解-Kernel-based partial least-squares algorithm, first the original non-linear function of changes in the nuclear matrix, and then non-linear iterative solution
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
20100528KFDA
- 完整的核主元分析法程序，包含训练识别功能，希望有所帮助。-Complete nuclear principal component analysis procedures, including training in recognition, hope that helps
constructKernel
- matlab 源文件，核构建算法，经典算法-matlab source files, nuclear build algorithm, the classic algorithm
NIFTI
- Matlab实现NIfTI(ANALYZE)核磁共振图像读取保存制作 Tools for NIfTI (ANALYZE) MR image 这个Matlab程序包用于处理核磁共振图像，可以读取显示、保存、制作该图像。-Matlab implementation NIfTI (ANALYZE) to preserve the production of nuclear magnetic resonance image read Tools for NIfTI (ANALYZE) MR i
3inputvector1
- 是基于主成成分和核主成成分的实例，有详细的注解，条理清晰易懂，适合初学者对pca与kpca的学习。-Is based on the principal as the main components and nuclear components as examples of the comments in detail, the clarity of easy-to-understand for beginners and pca learning kpca.
kpca
- 一种加核的PCA算法，比PCA算法识别率高很多，所加的核可以用于其他算法。-An increase in the PCA algorithm for nuclear than the PCA algorithm is much higher recognition rate, the increase of other algorithms can be used for nuclear.
matlab_image_cancer
- 癌细胞的识别，实现阈值分割，细胞核分割，膨胀与腐蚀，形态学分类识别-Identification of cancer cells to achieve threshold segmentation, nuclear division, expansion and corrosion, morphological classification
manual_stprtool
- stprtool的使用文档，非常好的模式识别工具包，里面有关于核的以及贝叶斯的相关程序，以及PCA，EM，SVM等方法。 -stprtool the use of the document, very good pattern recognition tool kit, which has nuclear as well as Bayes procedures, as well as PCA, EM, SVM and other methods.
Kenfisher
- 使用了核技巧的费舍尔判别法应用程序，有效提高费舍尔效果。-Use of nuclear techniques application Fisher Criterion, effectively improve the Fisher effect.
KFDA
- 核Fisher鉴别分析方法（KFDA）。KFDA方法的基本思想是首先将原始训练样本通过一个非线性映射 映射到某一高维(可能是无限维)特征空间F中，然后在F中执行Fisher鉴别分析。-Nuclear Fisher discriminant analysis method (KFDA). The basic idea of KFDA method is the first original training data by a nonlinear mapping m
svm
- SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。-The basic idea of SVM method are: the definition of the optimal linear hyperplane,
10[1].1.1.106.2867
- 使用matlab开发软件，通过采用拉普拉斯核分类器，实现道路标志分类。-Using matlab software development, through the use of Laplace nuclear classifier, to achieve classification of road signs.
KPCA
- matlab 源码 KPCA/核PCA 可用于人脸识别-matlab source KPCA/nuclear PCA for Face Recognition
DPSD
- DPSD算法，用于滤波的，已经用于核磁共振技术很多年了，相当成熟了，希望对大家有用-DPSD algorithm for filtering, nuclear magnetic resonance technique has been used for many years, very mature, we hope to be useful