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align
- 该程序用于照片的归一化和瞳孔对准。 其中ImageRotate函数用于将偏转的头像转正，用于歪头的情形，转头的情形不适合。 ImageZoom函数将照片变得与基准照片一个尺度，即所有照片的瞳孔间距与基准照片的瞳孔间距相同。 ImageAlign函数用于对准瞳孔，通过偏移，将所有照片的瞳孔位置变得与基准照片的瞳孔位置一致。- This procedure for photos normalized and pupil alignment. For the deflecti
CRFtools.zip
- CRFsuite: a fast implementation of Conditional Random Fields (CRFs) CRFSuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. The first priority of this software is to train and use CRF models as fast as possi
ADL32-Lecture03-Report1.rar
- CRFsuite: a fast implementation of Conditional Random Fields (CRFs) CRFSuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. The first priority of this software is to train and use CRF models as fast as possi
lib-mkl
- Multiple kernel learning is a model to merge multiple kernels by linear combination. Mostly solving the models are slow due to explicit computation of kernels. Here, we propose to approximate kernel map function explicitly in finite dimensional sp
Linear_solver
- Matlab，线性方程组求解典型算法，含共轭速降法（大规模矩阵），一种正则化方法（处理病态矩阵），含相应算例与user guide-Matlab, solving linear equations typical algorithms the conjugated downhill Act (mass matrix), a regularization method (treatment of morbid matrix) containing the corresponding numeric
Matlab
- Regularization of a system dynamics matrix-Regularization of a system dynamics matrix
ZG
- 病态矩阵HILBERT，正则化高斯消元法，cholesky分解法-Ill-conditioned matrix HILBERT, regularization of Gaussian elimination method, cholesky decomposition
function1111
- 一种基于TV正则化的自适应图像去模糊方法：最小优化算法-Based on TV regularization adaptive image deblurring method: Minimal Optimization
Kang
- 自适应正则化超分辨率重建 是： M. G. Kang这人写的IEEE上发表的论文 可以参考下算法- General Choiceof the Regularization Functional in Regularized Image Restoration
matlab
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。-Bayesian regularization algorithm to improve the generalization ability of BP network.
svmTrain
- [model] = SVMTRAIN(X, Y, C, kernelFunction, tol, max_passes) trains an SVM classifier and returns trained model. X is the matrix of training examples. Each row is a training example, and the jth column holds the jth feature. Y is a column
LGME
- input: param: parameters of the LMGE algorithm param.mu, param.alpha, param.beta are regularization parameters. param.p: dimension of shared subspace param.k: number of nearest neighbors for Laplacian matrix X: input data Y: ground
subspace_J21
- Input: X, training data, dim*num Y, training data labels, num*class para.alpha, para.beta, regularization parameters para.rd, reduced dimensionality Web Image Annotation via Subspace-Sparsity Collaborated Feature Selection. Zh
conv1D_04_Tikhonov
- Tikhonov正则化的很有用的MATLAB程序-Tikhonov regularization useful MATLAB program
KOMP
- 核稀疏表示的正交匹配追踪算法，这里核稀疏表示的正则化项为L0范数-Nuclear sparse representation orthogonal matching pursuit algorithm, where nuclear sparse representation regularization term is L0 norm
gcv
- matlab的gcv函数，可以用于求取正则化参数。是regtools工具箱中的-The gcv matlab function that can be used to strike the regularization parameter. Is regtools Toolbox
codes
- The spatially adapted total variation method subproblems are solved by a locally uperlinearly convergent algorithm based on Fenchel-duality and inexact semismooth-Newton techniques. The SATV Toolbox was written in MATLAB. It implements: 1)
romp
- 正则化正交匹配追踪算法的函数，用matlab编写，可以求解压缩感知的信号重构问题-Regularization function orthogonal matching pursuit algorithm, using matlab prepared, can solve problems compressed sensing signal reconstruction
deblurring_demo-1.0
- Bayesian Deblurring with Integrated Noise Estimation-Bayesian Deblurring with Integrated Noise Estimation Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequenc
matlab
- 一个利用共轭梯度法的正则化实例： 通过输入矩阵的维数，利用共轭梯度法的原理，进行正则化计算；Morozov偏差原理-A conjugate gradient method using the regularization Example: Enter the dimensions of the matrix, using the principle of conjugate gradient method for regularization calculation