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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
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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
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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
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Logistic Loss with the L1-norm Regularization
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小波包能量代码,利用db1小波将信号分解和重构,然后计算小波系数的平方,进行正则化-Wavelet packet energy code, the use db1 wavelet signal decomposition and reconstruction, and then calculate the square of wavelet coefficients, the regularization
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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!
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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
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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)
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Tikhonov.m 纪洪诺夫正则化方法-Tikhonov.m Regularization..............
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Landweber迭代正则化的加速,一个很好的正则化方法!-Landweber iterative regularization of the acceleration, a good regularization method!
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some example of regularization tools in matlab
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Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of
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Logistic Loss with the L1-norm Regularization subject to non-negative constraint
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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.
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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
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改程序产生一个广义的奇异值分解。对于奇异方程而言,改方法非常有效。可以迅速求解方程。CGSVD Compact generalized SVD of a matrix pair in regularization problems-Change the program to generate a generalized singular value decomposition. For the singular equation, the change method is very effect
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MATLAB code for gradient descent using cross-entropy error function and regularization
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Regularization of a system dynamics matrix-Regularization of a system dynamics matrix
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Bregman Algorithm for Anisotropic TV denosing
Bregman算法各向异性TV去噪B(The methods studied here are based on the Bregman iterative regularization, and efficient algorithm for convex, constraint optimization problems. We study two different versions of th
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Matlab程序包解决病态的正则化反演问题(A Matlab Package for Analysis and Solution of Discrete Ill-Posed Problems)
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