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Imageprocessing.rar
- 包括图像分析的四部分代码：matlab扩散和高斯函数，线性扩散，线性复扩散，非线性扩散。,It contains four parts： [1]MATLAB function:diffusion.m gauss.m [2]Linear diffusion Applying linear diffusion to images creating linear scale-space. MATLAB code: demo_lin.m Image: haifa1.bmp [3]Li
svm-km.rar
- 支持向量机(SVM)是数据挖掘中的一个新方法，能非常成功地处理回归问题(时间序列分析)和模式识别(分类问题、判别分析)等诸多问题，并可推广于预测和综合评价等领域，因此可应用于理科、工科和管理等多种学科。目前国际上支持向量机在理论研究和实际应用两方面都正处于飞速发展阶段。它广泛的应用于统计分类以及回归分析中. 支持向量机属于一般化线性分类器.他们也可以认为是提克洛夫规则化（Tikhonov Regularization）方法的一个特例.这族分类器的特点是他们能够同时最小化经验误差与最大化几何边缘区
BPtrainlmtrainbr.rar
- 用L-M 优化算法与贝叶斯正则化算法训练同一个样本,By LM optimization algorithm with Bayesian regularization algorithm for training with a sample
corner
- 该程序找到了使用L曲线算法的拐点，是正则化程序中，寻求正则化参数的一种比较好的方法。CORNER Find corner of discrete L-curve via adaptive pruning algorithm.-The program found the algorithm using the L-curve inflection point, is the regularization process, the regularization parameter for a bet
Tikhonov-Regularization-
- 本程序是基于Tikhonov正则化方法重建图像分析-This procedure is based on the Tikhonov regularization method for reconstruction of image analysis
LogisticR
- Logistic Loss with the L1-norm Regularization
PF_Regular
- 正则化粒子滤波程序，对SIR重采样步骤进行正则化处理，改进粒子滤波效果。-Particle filter regularization procedures, SIR resampling steps regularization, improved particle filtering.
L-curve
- L-曲线法是反问题正则化方法中的参数选取中的重要方法，本程序给出了如何恰当选取其中的参数！-L-curve method is the inverse problem regularization method of parameter selection in an important way, this procedure is given on how to properly select one of the parameters!
regu
- Regularization Tools: A MATLAB package for Analysis and Solution of Discrete Ill-Posed Problems. Version 4.1. By means of the routines in this package, the user can experiment with different regularization strategies. The package also includes
regularization
- radial basisi function
Regularizationtools
- Regularization Tools Version 4.1 (for Matlab Version 7.3)最新版，刚下了个3.2版，传个新版 -Regularization Tools Version 4.1 (for Matlab Version 7.3)
ex_conv_1D_Tikhonov
- some example of regularization tools in matlab
ex_conv_2D_Tikhonov_Lcurve
- example of 2D tikhonov regularization tools
LeastR
- LeastR Least Squares Loss with the L1-norm Regularization-Least Squares Loss with the L1-norm Regularization
nnLeastR
- Least Squares Loss with the L1-norm Regularization subject to non-negative constraint
Regularization
- 病态方程的正则化，用matlab实现正则化算法。-Morbid equation, regularization, with the regularization algorithm matlab implementation.
tv_reg
- This MATLAB .m file takes a "true" image, and an "observed" image that is the true image that has been noised with uncorrelated Gaussian noise. The function then performs Tikhonov regularization to clean up the defects in the image, with the Tikhonov
regularization
- MATLAB code for gradient descent using cross-entropy error function and regularization
Regularization-toolbox
- 正则化工具箱，用于图像去噪，去模糊，修补等重建问题。-Regularization toolbox for image denoising, deblurring, repair and other reconstruction problems.
Regularization_Hansen_Toolbox
- Regularization using MATLAB Toolbox