搜索资源列表
OVM
- A Dynamical Tikhonov Regularization for Solving Ill-posed Linear Algebraic Systems.pdf，以上论文提出的求解病态线性方程组的一种较新梯度下降法-A Dynamical Tikhonov Regularization for Solving Ill-posed Linear Algebraic Systems.pdf, more than one paper proposes solving ill-conditi
TVAL3_v1.0
- matlab压缩感知中的一种基于全变分正则化的重建算法——TVAL3-In compressed sensing, a reconstruction algorithm based on total variation regularization- TVAL3
RNLF-master
- 文章源码Adaptive Regularization of the NL-Means:Application to Image and Video Denoising-Adaptive Regularization of the NL-Means: Application to Image and Video Denoising
CSR_Denoising
- 该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）-It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the
bpNeural-network-instance
- 例1 采用动量梯度下降算法训练 BP 网络。 例2 采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。-Example 1 uses the momentum gradient descent algorithm to train the BP network. Example 2 uses the Bayesian
mppliedappliedregularization
- 基于正则化转置的LDA matlab源代码,可以应用在人脸识别中-Based on regularization transposed LDA matlab source code, can be applied in face recognition
INNUXAT9
- 基于正则化转置的LDA matlab源代码,可以应用在人脸识别中-Based on regularization transposed LDA matlab source code, can be applied in face recognition
akplied-coje
- 基于正则化转置的LDA matlab源代码,可以应用在人脸识别中-Based on regularization transposed LDA matlab source code, can be applied in face recognition
tikhonov
- 计算病态反问题时所采用的的正则化方法(Regularization method used in the computation of ill posed inverse problems)
csvd+ttls
- ttls的正则化方法，适用于各种病态反问题的求解(The regularization method of ttls is applicable to solving various ill conditioned inverse problems)
tgsvd+tsvd
- tgsvd正则化方法，适用于计算各类病态反问题(The tgsvd regularization method is suitable for the calculation of ill posed inverse problems)
Con1d_Inv
- 大地电磁1D正则化反演代码 我觉得蛮有用的 所以分享下(Magnetotelluric 1D regularization inversion code, I feel quite useful, so share it)
L1 Total Variation
- 利用L1范数TV正则化对影像进行超分辨率重建(Super resolution reconstruction of images using L1 norm TV regularization)
正则化
- 正则化的目的：防止过拟合；正则化的本质：约束（限制）要优化的参数。(Regularization purpose: to prevent overfitting! the nature of regularization: constraints (constraints) to optimize parameters.)
Matlab codes for linearized Bregman algorithms
- 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
Tikhonov.rar
- 论文Tikhonov, Ivanov and Morozov regularization for support vector machine learning(paper, Tikhonov, Ivanov and Morozov regularization for support vector machine learning)
混合正则化
- 对于求解地震勘探问题提出了一个新的混合正则化方法。(A new hybrid regularization method is proposed to solve seismic exploration problems.)
ridge regression1
- 岭回归(英文名：ridge regression, Tikhonov regularization)是一种专用于共线性数据分析的有偏估计回归方法，实质上是一种改良的最小二乘估计法，通过放弃最小二乘法的无偏性，以损失部分信息、降低精度为代价获得回归系数更为符合实际、更可靠的回归方法，对病态数据的拟合要强于最小二乘法。 总之，本文档是岭回归的R语言实现代码，主要用于解决当模型中出现多重共线性问题，尤其是当你所有的解释变量都很重要，又无法通过其他检验来删除时，岭回归是一个很好的解决办法。(Ridge
sourie
- 基于正则化转置的LDA matlab源代码,可以应用在人脸识别中(Based on regularization transposed LDA matlab source code, can be applied in face recognition)
tikhonov
- 解病态方程的正则化方法、逆问题不适定解的处理与正则化(Regularization method for solving ill conditioned equations)