Search - kernel

Search - kernel - List

[matlab] kernel-ica1_2 DL : 0: 这是核函数独立分量分析KICA的源码和相关程序，希望大家用得上。-This is a kernel independent component analysis of the source KICA and related procedures, I hope everyone useful.
Date : 2026-01-10 Size : 35kb User : lyp
[matlab] kernel-ica1_0.tar DL : 0: The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast function measures the statistical dependence between components, thus when applied to estimated components and minimized over possible demixing matrices, components that are as independent as possible are found.
Date : 2026-01-10 Size : 10kb User : 薛耀斌
[matlab] weighted_total_least_squares_approximation DL : 1: The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another. KEYWORDS: Total least squares, generalized total least squares, software implementation.
Date : 2026-01-10 Size : 280kb User : kedle
[matlab] SeperateKernel DL : 0: This function seperates a 2D matrix into its X and Y components if by definition the kernel is seperable (rank==1).
Date : 2026-01-10 Size : 1kb User : Tolga
[matlab] stprtool DL : 0: 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- This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm
Date : 2026-01-10 Size : 4.07mb User : 查日东
[matlab] rgk DL : 0: 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.
Date : 2026-01-10 Size : 8kb User : 罗洁思
[matlab] background_substraction DL : 0: 视频背景非参数估计论文及matlab实现.matlab代码只实现了灰度图的背景估计，论文利介绍的彩色视频处理方法可以自己看看怎么做。-Background and Foreground Modeling Using Nonparametric Kernel Density Estimation for Visual Surveillance AHMED ELGAMMAL, RAMANI DURAISWAMI, MEMBER, IEEE, DAVID HARWOOD, AND LARRY S. DAVIS, FELLOW, IEEE Invited Paper
Date : 2026-01-10 Size : 252kb User : flora
[matlab] kernel DL : 0: svm 核函数的选择与构造在matlab中运行-svm kernel function and structure of the choice to run in matlab
Date : 2026-01-10 Size : 1kb User : 丛宽
[matlab] kernel_k_means DL : 0: kernel kmeans is a fast and efficeient kmeans algorithm implementation
Date : 2026-01-10 Size : 1kb User : farooq
[matlab] [matlab] DL : 0: 模糊核聚类算法的几篇论文及matlab源码，可以以练代学，更好掌握模糊聚类方法。-Fuzzy Kernel Clustering Algorithm matlab several papers and source code, can be practicing on behalf of science, to better grasp the fuzzy clustering method.
Date : 2026-01-10 Size : 1.32mb User : 大长今
[matlab] Convolution DL : 0: This code implements the affects of linear and non linear kernel.
Date : 2026-01-10 Size : 39kb User : paz
[matlab] kde.tar DL : 0: kde全称是kernel density estimation.基于核函数的概率密度估计方法。是模式识别中常用的算法之一-KDE which is kernel density estimation is used to estimate probabilty function. It is mostly used in pattern recogntion
Date : 2026-01-10 Size : 2.17mb User : herman
[matlab] kernel-density-estimation DL : 0: 一种核密度估计，或者称作带宽选择的方法，可以估计二维尺度参数，至于多维以上的估计方法尚在开发，多维情况下个人经验好的方法是多次实验取较好值-kernel density estimation, bandwidth selection, two-dimensional scale parameter can be estimated ,for the multi-dimensional approaches are still under development, multi-dimensional cases, personal experience is to do the experiment many times
Date : 2026-01-10 Size : 609kb User : 苗晨
[matlab] kde DL : 0: Kernel Density Estimation (Set of tools for nonparametric (kernel) density estimation)
Date : 2026-01-10 Size : 1.04mb User : 陳偉
[matlab] kernel DL : 0: gaussian kernel with matlab
Date : 2026-01-10 Size : 1kb User : Sajad
[matlab] KERNEL-PCA DL : 0: Kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.-Kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.
Date : 2026-01-10 Size : 3kb User : rem
[matlab] KERNEL-LDA DL : 0: Kernel Discriminant Analysis a kernel extension of Linear Discriminant Analysis technique which is a well-known feature extraction technique.-Kernel Discriminant Analysis is a kernel extension of Linear Discriminant Analysis technique which is a well-known feature extraction technique.
Date : 2026-01-10 Size : 3kb User : rem
[matlab] Kernel-PCA DL : 0: 基于核方法的主成分分析matlab源代码，比较经典，推荐学习。-Method based on kernel principal component analysis matlab source code, more classic, recommended learning.
Date : 2026-01-10 Size : 1kb User : 石远超
[matlab] kernel及其应用 DL : 0: 人工智能学习算法中的kernel变换函数及其应用。将低纬转变成高纬函数(kernel Transformation function)
Date : 2026-01-10 Size : 1kb User : iwoowi
[matlab] kernel-regression-master DL : 0: kernel方法，进行半监督学习，数据分类与识别，有标签与无标签(KERNELmethod,semi-supervised learning,classification,label unlabel)
Date : 2026-01-10 Size : 13.86mb User : zz12345

« 12 3 4 5 6 7 8 9 10 ... 18 »