Sparsity

OutPatternMatrix = sppattern(InPattern,InMatrix)OutPatternMatrix - Output MatrixInPattern - Target sparsity patternInMatrix - Matrix to apply sparsity pattern to

This is a generalized version of Principal Component Pursuit (PCP) where the sparsity is assumed in a transform domain and not in measurement domain. Moreover the samples obtained are lower dimensional projections. Inputs y - observation (lower dimensional projections)F - projection from signal...

Sparsity Recovery by Iterative Orthogonal Projections of Nonlinear MappingsA new regularization method for sparse representation based on a fixed-point iteration schema which combines two Lipschitzian-type mappings: an orthogonal projector and a nonlinear one for sparsity promotion.


Platforms: Matlab

Group and Block Sparse Signal reconstruction viaMatching Pursuit - BMP, GMPGradient Pursuit - block_gp, group_gpNearly Orthogonal Matching Pursuit - block_nomp, group_nompPartial Conjugate Gradient Pursuit - block_pcgp, group_pcgpOrthogonal Least Squares - BOLS, GOLS


Platforms: Matlab

Group and Block Sparse Signal reconstruction viaMatching Pursuit - BMP, GMPGradient Pursuit - block_gp, group_gpNearly Orthogonal Matching Pursuit - block_nomp, group_nompPartial Conjugate Gradient Pursuit - block_pcgp, group_pcgpOrthogonal Least Squares - BOLS, GOLS


Platforms: Matlab

Group and Block Sparse Signal reconstruction viaMatching Pursuit - BMP, GMPGradient Pursuit - block_gp, group_gpNearly Orthogonal Matching Pursuit - block_nomp, group_nompPartial Conjugate Gradient Pursuit - block_pcgp, group_pcgp


Platforms: Matlab

Please see SPYDEMO, by following link 'Published m-files' below.


Platforms: Matlab

HierCube Library is a set of VCL components designed to create fast, handy, and powerful OLAP-applications in different IDE. The library has its own OLAP-engine made using MOLAP-principle, and allows you making OLAP-views "on the fly", not wasting time and memory for intermediate calculations....


Platforms: Windows

nu_corrector is a tool for correcting intensity non-uniformity artifact of image. Here, non-uniformity refers to image artifacts of vignetting and bias (e.g. intensity inhomogeneity, illumination etc.). This tool is an implementation of our single-image based vignetting or bias correction systems...


Platforms: Matlab

[blockVectorX,lambda]=lobpcg(blockVectorX,operatorA)outputs the array of algebraic smallest eigenvalues lambda andcorresponding matrix of orthonormalized eigenvectors blockVectorX of the Hermitian (full or sparse) operator operatorA using input matrix blockVectorX as an initial guess, without...


Platforms: Matlab

This utility can be useful when you need to update a sparse matrix valueswithout changing its sparsity pattern.Since MATLAB uses CSC (Compressed Sparse Column) format for sparse matries, the non-zeroes are stored in an array, which can be safely overwritten in order to update the matrix, while...


Platforms: Matlab

BFRM is a comprehensive implementation of sparse statistical models for high-dimensional data analysis, structure discovery and prediction. The framework of sparse latent factor modelling coupled with sparse regression and anova for multivariate data is relevant in many exploratory and...


Platforms: Mac

This is a small Python library that contains code for using and training Restricted Boltzmann Machines (RBMs), the basic building blocks for many types of deep belief networks. Variations available include the "standard" RBM (with optional sparsity-based hidden layer learning); the temporal net...


Platforms: *nix