There are 10 repositories under dictionary-learning topic.
Fundamental Haskell book, to the point terse statements on Haskell, Category theory, and related fields. Encyclopedic pocketbook of meaning. Zen kōan-like meditations of understanding. For quick or memory curve spaced repetition learning.
A MATLAB library for sparse representation problems
:sparkles: A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.
A MATLAB toolbox for classifier: Version 1.0.7
L1-regularized least squares with PyTorch
Image inpainting via dictionary learning and sparse representation.
Single-cell multi-omics integration using Optimal Transport
[ICML 2022] "Neural Implicit Dictionary via Mixture-of-Expert Training" by Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang
multi-focus image fusion using dictionary learning and low-rank representation(ICIG 2017, Shanghai)
Compressed sensing and denoising of images using sparse representations
Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Wasserstein dictionary learning: Optimal transport-based unsupervised nonlinear dictionary learning." SIAM Journal on Imaging Sciences, 2018
This repository contains dictionary learning algorithms
Official repository of the "Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning" (ACM MM 2023)
work in Advanced Topics in Multimedia Analysis and Indexing
We introduce a way to extend sparse dictionary learning to deep architectures.
Buildings segmentation and multiple sclerosis lesions segmentation (Dictionary learning, Encoding, Classification)
Image deblocking method using structural sparse representation and quantization constraint
A model for Blind Source Separation using Dictionary Learning
Online Matrix/Tensor Factorization and applications to Network Dictionary Learning and images
This repository contains code for morphology-free analysis of functional fluorescence microscopy. The focal algorithm, Graph-Filtered Time-trace (GraFT) Dictionary Learning, is published in Charles et al. 2022 in the IEEE Transactions of Image Processing.
Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.
Matlab code for learning doubly sparse dictionary on synthetic data. Details can be found in the paper "A Provable Approach for Double-Sparse Coding".
Python Implementation of Proximal Methods for Hierarchical Sparse Coding
Spectral Clustering on the Sparse Coefficients of Learned Dictionaries - Published in SIVP