搜索资源列表
for_lagrange_vector
- 在优化等式约束的多项式的向量变量应用中,使用梯度上升算法求解拉格朗日乘子向量的最优值。-Equality Constrained Optimization in the polynomial vector variables applications, increased use of the gradient algorithm Lagrangin Vector optimum value.
DEFINEV
- %DEFINEV Scaling vector and derivative % % [v,dv]= DEFINEV(g,x,l,u) returns v, distances to the % bounds corresponding to the sign of the gradient g, where % l is the vector of lower bounds, u is the vector of upper % bounds. Vector dv is
MeanShift.rar
- Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束. 用matlab实现mean shif
colorgrad
- Computes the vector gradient of an RGB image
fibonacci_search
- this *.m file is the implementation of fibonacci search that is used for finding gradient vector in optimizaiton algorithm-this*.m file is the implementation of fibonacci search that is used for finding gradient vector in optimizaiton algorithm
vector
- Vector color gradient implementation. Search form i-Vector color gradient implementation. Search form ieee
gvfsnakeMATLAB
- gvf snake 邊緣檢測範例(包含範例圖)-1. Introduction and Installation Instructions ---------------------------------------------- Welcome to the Gradient Vector Flow (GVF) Active Contour Toolbox. The Matlab*.m files in this software distribution imp
gradient
- Computes the gradient vector or matrix
Improvedon
- 改进的梯度向量流模型及其应用Improved gradient vector flow model and its application-Improved gradient vector flow model and its application
gvf
- Gradient vector flow active contour
the-wavelet-neural-network
- 城市交通流的运行存在着高度的复杂性、时变性和随机性,实时准确的交通流预测是智能交通系统,特别是先进的交通管理系统与先进的出行者信息系统研究的关键. 基于交通流预测的特点,给出了基于遗传算法的小波神经 网络的交通预测模型GA-WNN ,用具有自然进化规律的遗传算法来对小波神经网络的连接权值和伸缩平移尺度进行前期优化训练,部分代替了小波框架神经网络中按单一梯度方向进行参数优化的梯度下降法,克服了单一梯度下降法易陷入局部极小和引起振荡效应等缺陷. 仿真实验验证了GA-WNN 预测模型对短时交通流的
PAPER4
- 基于梯度矢量方向性分析的线裁剪算法.pdf-Seam Carving Algorithm Based on Gradient Vector Direction Analysis
snake
- GVF snake模型算法matlab源程序,利用变分方法,从图像中得到的一种向量场,该向量场被称为梯度矢量流(GVF)场。-GVF snake model algorithm matlab source, using the variational method, a vector field obtained from the image, the vector field is called the gradient vector flow (GVF) field.
A-new-SVM-method-based-on-gradient
- 基于支持向量机选择确定决定分类最优分界面的支持向量样本,基于这些样本中各个变量在基坐标上投影进行变量选择-Selection based on support vector machine (SVM) to determine the optimal boundary decision classification support vector of the sample, based on the sample of each variable on the base coordinate p
Hog Feature Vector
- Histogram of Gradient FEature Vector
prewwit
- The Prewitt operator is used in image processing, particularly within edge detection algorithms. Technically, it is a discrete differentiation operator, computing an approximation of the gradient of the image intensity function. At each point in the
curvedde
- Where H represents the hermitian transpose. The complex vector of weight adjust the amplitude and phase. The desired beam can be produced by adding together the MMSE weight adaptation with the steepest decent algorithm produces LMS algorithm[7]. For
dealwithit
- W(n) represents the weight vector at n, W(n+1) represent weight vector at n+1. U represents the step size which control the convergence speed. The value for the gradient vector is calculated through covariance matrix R and cross-correlation r.
Fast_GVF_v1.0
- The C++/MEX implementation of Gradient Vector Flow (GVF) is much faster than the Matlab implementation. There is a demo.m file in this package, which shows how to run a simple demo. The package is used by: [1] Quan Wang, Kim L. Boyer, T
SVM-master
- Improved Support Vector Machine in MATLAB. Some other functions included as we-This is a improved SVM learner coding in MATLAB. I constructed a new N-Dimensional Hessian Matrix and Gradient Vector builder in costFcn.m. Check the comments in the funct