Regularization

MATLAB code for "Computational Statistics: Feature Selection, Regularization, and Shrinkage" Platforms: Matlab

This is a demo program of the paper "Phase-driven spatially-variant regularization for image resolution enhancement," International Journal of Electronics and Communications, Vol. 65, No. 11, Nov. 2011, pp. 975-977. Platforms: Matlab

Dual regularization-based image resolution enhancement for asymmetric stereoscopic images Platforms: Matlab

Using Total Vairation regularization for image deblurring. Platforms: Matlab

Regularization Tools: A MATLAB package for Analysis and Solution of Discrete Ill-Posed Problems.By means of the routines in this package, the user can experiment with different regularization strategies. The package also includes 12 test problems.Requires Matlab Version 7.3. The manual and more... Platforms: Matlab

[ih]=invFIR(type,h,Nfft,Noct,L,range,reg,window)- optional GUI included-inputs overview---------------type:1. 'linphase': symmetric two-sided response compensating magnitude while maintaining original phase information2. 'minphase': one-sided response compensating magnitude with minimal possible... Platforms: Matlab

The tvreg package applies total variation (TV) regularization to perform image denoising, deconvolution, and inpainting. Three different noise models are supported: Gaussian (L2), Laplace (L1), and Poisson. The implementation solves the general TV restoration problem Min TV(u) + d-?Tz d?T¬... Platforms: Matlab

This function segments (clusters) an image into object classes, and estimates and corrects for slow varying illumination artifacts. Estimates and corrects for bias field in 3D MRI, streak artifacts in CT, and illumination artifacts in color photos.It's an implementation of the paper of M.N. Ahmed... Platforms: Matlab

This submission contains an interface to a LBFGS solver for unconstrainted minimization problems of the formmin_{x} f(x) + c*|tilde{x}|,where x are the parameters, f is a scalar valued real function, c is a positive scalar (default value=0), |.| denotes the 1-norm, and tilde{x} is some subset of... Platforms: Matlab

udeconv - Unsupervised Wiener-Hunt deconvolution[xEap, gnChain, gxChain] = udeconv(data, ir, reg, criterion, burnin, maxIter)return the deconvolution of 'data' by 'ir' with the 'reg' regularization operator. The algorithm is a stochastic iterative process (Gibbs sampler) that allow automatic... Platforms: Matlab

This kind of problem arises in statistics, linear algebra, and regularization.The method uses quadratic eigen-value problem (QEP). Platforms: Matlab

DynaMo (Dynamic Models) is a package for simulation, estimation, inference, regularization and prediction of time series models, with a special focus on the families of models used in Financial Econometrics. Platforms: *nix

The proposed algorithm is based on nonlinear derivatives to automatically select the best edge information. This algorithm can replace the classical derivative with the following benefits:- univocal edge localization for synthetic and real images- noise reduction with no regularization: the noise... Platforms: Matlab

A fast Gentle Adaboost classifier with two different weak-learners: i) decision stump and ii) perceptron. Multiclass is performed with the one-against-all strategy.Usage ------ model = gentleboost_model(X , y , [T] , [options]); Inputs ------- X Features matrix (d x N) y Labels (1 x N). If y... Platforms: Matlab

Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds Usage ------- [logl , M , S , P] = fsmem_mvgm(Z , [M0] , [S0] , [P0] , [option]); Inputs ------- Z Measurements (d x N)... Platforms: Matlab

The feature vector is a 5(gray scale) or 15(colored) dimensional vector reflecting the contrast, texture strength and orientation and texture scale for each pixel. Texture scale is represented by the average speed of change of pixel intensity in a Total Variation framework while the texture... Platforms: Matlab

The code supports homogeneous and linear and nonlinear (Total Variation and Edge Enhancing flow) isotropic diffusion of arbitrary dimensioned fields(scalar~grayscale image, vector ~ color image and matrix~structure tensor). Additive Operator Splitting(AOS) as well as Gaussian regularization are... Platforms: Matlab

Compute the minimum of the generalized TV functionalT = || K*U - S ||^p + lambda*|| sqrt( (Dx(U))^2 + (Dy(U))^2 ) ||^qfor grayscale / color (vector) images using the IRN [1,2] algorithm, whereS: Input imagelambda: regularization parameterK: linear operatorU: Output imageReferences[1] P.... Platforms: Matlab

Generalized linear models (GLMs) are a natural extension of linear regression models in which eta = X*w is related to y by a fixed nonlinearity and a possibly non-Gaussian noise source. Standard linear regression, logistic regression and Poisson regression are all special types of GLMs.This... Platforms: Matlab

bgam - Boosted Generalized Additive Models package---Implements boosting for the Generalized Additive and Linear Models (GAM and GLM).Extensible, fully documented. Implements linear and stub learners,least-squares/logistic/Poisson regression.The generalized linear model (GLM) is a flexible... Platforms: Matlab