Regularization

[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

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

To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight in BayesPI, namely Laplace prior and Cauchy prior, by using the evidence approximation method. In addition, we divided... Platforms: Matlab