C and MATLAB implementation of CS recovery algorithm, i.e. Orthogonal Matching Pursuit, Approximate Message Passing, Iterative Hard Thresholding Algorithms

Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian learning, and basis pursuit.

Implementation of several matching pursuit algorithms (MP, OMP, gOMP).

Sparse representation solvers for P0- and P1-problems

A Matching Pursuit Method for Generalized LASSO. An implementation in MATLAB and C++ with MEX interface. "MPGL: An Efficient Matching Pursuit Method for Generalized LASSO (AAAI'17)"

unsupervised learning of natural images -- à la SparseNet.

Edge co-occurrences can account for rapid categorization of natural versus animal images

Code and material for the poster presented at SPARS

Regression Task using OMP on UCI Machine Repository in MATLAB

Penr-Oz Tools for handling cryptographic features (deterministic password, data approximation)

Sparse Covariance Learning