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.
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)"
Implementation of several matching pursuit algorithms (MP, OMP, gOMP).
Edge co-occurrences can account for rapid categorization of natural versus animal images
Code and material for the poster presented at SPARS
Penr-Oz Tools for handling cryptographic features (deterministic password, data approximation)
Regression Task using OMP on UCI Machine Repository in MATLAB
Sparse Covariance Learning
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