搜索资源列表
3D_VECTOR_CONTROL
- 三维矢量控件.本控件具有下面特征： 从CButton派生的3D矢量MFC控件。 在3D球体上进行实时光显示。 可变球体半径和位置。 支持位图背景。 支持垂直颜色渐变背景。 可变球体颜色、光颜色和周围颜色。 可变光强度。 支持附加控件（自动更新）。 支持鼠标敏感。 支持前向剪切。 支持下面事件的回调函数： 1. 跟踪球体移动。 2. 用户释放跟踪球，也就是，矢量改变。-Three-dimensional vector c
picasso_0.9_beta1.tar
- Picasso is a high quality vector graphic rendering library. It support path , matrix , gradient , pattern , image and truetype font.
ml
- 该算法包含极大似然估计的梯度算法和快速ica算法，已经调试成功过，调试时注意所给信号x是行向量还是列向量-The algorithm contains the maximum likelihood estimation of the gradient method and fast ica algorithm, has been debugged, debugging attention given signal x is a row vector or column vector
hari
- 1).Using structs, find sum, subtraction, magnitude(of a vector) and angle(in degrees) between two arbitrary dimensional vectors. 2).Using structs, find the gradient vector of a polynomial multivariable function described in termsof arrays containin
GVFvisualation
- 图像处理领域经常会用到的梯度矢量，本程序实现了GVF并且将它可视化。-Often used in image processing gradient vector, the program will achieve the GVF and its visualization.
gradient_compute
- ML gradient computation g = grad_ml(X,x,r) g = gradient vector X = matrix for receiver positions x = 2D position estimate r = TOA measurement vector sigma2 = noise variance vector - ML gradient computation
minGETD
- 共轭梯度法求解多维函数的极值 function [x,minf]=minGETD(f,x0,var,eps) 目标函数：f 初始点：x0 自变量向量：var 精度：eps 目标函数取最小值时的自变量值：x 目标函数的最小值：minf- Conjugate gradient method for solving the multi-dimensional function of the extreme value function [x, minf] =
WindowsApplication1
- 这是一个关于GVF梯度矢量流的完整实现，可以结合XU的MATLAB代码一起看看。-This is a complete realization of the GVF gradient vector flow, you can see the MATLAB code together with XU.
saisou
- matlab开发工具箱中的支持向量机，利用自然梯度算法，外文资料里面的源代码。- matlab development toolbox support vector machine, Use of natural gradient algorithm, Foreign materials inside the source code.
giegeng
- 包括随机梯度算法，相对梯度算法，内含心电信号数据及运用MATLAB写的源代码，matlab开发工具箱中的支持向量机。- Including stochastic gradient algorithm, the relative gradient algorithm, ECG data and includes source code written in MATLAB, matlab development toolbox support vector machine.
histology-image-classification
- this code product to classification of blood histology images.texture and color features used to patterns extraction and classified using SVM (support vector machine). texture features extracted with SRF gradient and LBP operator and to color feature