sparse-coding

Sparse Optimisation Research Code

Convolution dictionary learning for time-series

A MATLAB toolbox for classifier: Version 1.0.7

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

geometry processing and shape analysis framework

✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.

Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge

Face Recognition in real-world images [ICASSP 2017]

[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.

Regularized K-SVD Algorithm

The project is an OpenCV based C++ implementation of the paper 'Abnormal Event Detection at 150FPS in Matlab'

Dictionary Learning for image processing

An implementation of Olshausen and Field (96) in PyTorch

work in Advanced Topics in Multimedia Analysis and Indexing

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

ListLBM is a sparse lattice Boltzmann solver for multiphase flow in porous media

A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Selection.

Regularized Multi-task Learning in R

Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.

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

Point cloud completion tool based on dictionary learning. Takes a PCL point cloud surface and fills in gaps or densifies sparse regions by learning from the various surface features of the cloud. This is done using a variation of the k-SVD dictionary learning algorithm that allows for continuous atoms and dealing with unstructured point cloud data. Written in Qt C++, using Eigen, OpenMP, and OpenGL.

Image deblocking method using structural sparse representation and quantization constraint

Non Negative Sparse AutoEncoder (NNSAE). An efficient online learning scheme for non-negative and sparse coding in autoencoder neural networks.

Code for paper "Efficient Sparse Coding using Hierarchical Riemannian Pursuit," in IEEE Transactions on Signal Processing, Y. Xue, V. K. N. Lau and S. Cai, doi: 10.1109/TSP.2021.3093769.

Python Implementation of Proximal Methods for Hierarchical Sparse Coding

Code for "Online convolutional sparse coding (TIP 2018)".

Hybrid function sparse representation (HFSR) for super resolution