搜索资源列表
myNorm
- Qt、Opencv环境下，演示连续范数的计算，绘制和显示。可以连续演示范数L1,L2,L3,L4.....L无穷，对于教学演示非常有用-Under Qt, Opencv environment, demonstrate continuous norm calculate the number of rendering and display. Can continue to play an norm L1, L2, L3, L4 ..... L infinity, is very useful
L0smoothing
- L0范数平滑，将图像进行平滑处理，得到图像的明显边缘而将细节部分平滑-L0-norm smoothing
L1_tracker
- l1范数跟踪算法，很多详细注释，可以直接使用，论文得从新下载-The l1 norm tracking algorithms, a lot of detailed annotations, can be used directly, the papers the new download
IADM_NNLS_v0
- IADM_NNLS:不精确的交替方向方法核标准正则化最小二乘问题，可以解决正则项是核范数的公式，例如低秩表示算法-IADM_NNLS: inexact alternating direction method nuclear standard regularized least squares problem, can solve the formula of regularization is nuclear norm, such as low rank said algorithm
SLIM
- 在高斯混合噪声背景下实现SLIM谱估计算法和l1范数SLIM谱估计法，并在-5到15的信噪比条件与CRLB对比均方频率误差-the paper achieves the SLIM spectral estimation algorithm and l1-SLIM spectral estimation method under the Gaussian mixture background noise,then compares the mean square frequency error
l1-Norm-Minimization
- 该文章介绍了L1范数最小化问题稀疏求解的快速算法-This article describes a quick way L1 norm minimization problem solving sparse
SolveLasso
- 解决lasso问题的MATLAB代码，可以很方便的求解L1范数问题-to solve the lasso problem
Objectness
- BING: 二值范数化梯度实现300帧每秒的对象性估计 源代码-BING: Binarized Normed Gradients for Objectness Estimation at 300fps
l1testpack_v1-2
- l1范数的测试代码,关于压缩后的信号进行重构的一些算法-the testing code of l1 norm ，reconstruction of the signal
l1magic-1.1
- 使用L1范数的优化方法,计算稳定，效率高-optimization method using L1 norm
demo_SGMKL
- 多核学习Sparse GMKL的代码，采用L1+L2范数约束，代码很详尽！-Multicore learning Sparse GMKL code, using L1+L2 norm constraint, the code is very detailed!
Tonlun-algorithm-
- 同伦算法，解决1范数最小化问题，在稀疏求解时可是使用-Homotopy algorithm, solve the 1 norm minimization problem, but use the sparse solution
test1
- 使用欧式距离和范数两种判定方法对数据点进行分类-Using Euclidean distance determination method number two and scope of the data points classification
splitBregmanROF_mex
- 分裂Bregman迭代法是将非线性先验分裂成 范数的和，用于提高算法的收敛速度，获得模型的最优解-Split Bregman iterative method is split into a nonlinear transcendental norm and, for improving the convergence rate, access to model the optimal solution
lpnorm
- L0.2 L1 L2 L10 范数显示对比图-this code showes the L0.2 L1 L2 L10 norm
CSALSA_v2
- 增广拉格朗日算法。目标函数的最优化求解，常用于逆问题的求解，是典型的L1范数算法。-Augmented Lagrangian algorithm. Solving optimization objective function, commonly used in inverse problem solving, is typical of L1-norm algorithm.
ivtcg
- 不完全变量截断共轭梯度算法，目标函数的最优化求解，常用于逆问题的求解，是典型的L1范数算法。-Incomplete variable truncated conjugate gradient algorithm for solving optimization objective function, commonly used in inverse problem solving, is typical of L1-norm algorithm.
SolveDALM_fast
- 快速对偶增广拉格朗日算法，目标函数的最优化求解，常用于逆问题的求解，是典型的L1范数算法。-Quick optimization for dual augmented Lagrangian algorithm for solving the objective function, commonly used in inverse problem solving, is typical of L1 norm algorithm.
phaseUnwrap_v1.4
- 消息传递算法是经典L1范数算法，常用于求解最小二乘的最优化问题。-Message passing algorithm is a classical L1-norm algorithm, commonly used in the method of least squares optimization problem.
QETLAB-0.9
- 一个很好的matlab源代码库-QETLAB，QETLAB库包含很懂矩阵运算以及一些范数的应用和计算-A very good source code library matlab QETLAB,-QETLAB library contains a very understanding of matrix operations and some of the norms of the application and calculation