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
unsupervised learning of natural images -- à la SparseNet.
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)"
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
Add a description, image, and links to the matching-pursuit topic page so that developers can more easily learn about it.
To associate your repository with the matching-pursuit topic, visit your repo's landing page and select "manage topics."