NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
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Updated
Feb 24, 2023 - MATLAB
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
Sparse Optimisation Research Code
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
A MATLAB library for sparse representation problems
Functional models and algorithms for sparse signal processing
This repository contains dictionary learning algorithms
Cognitive Computing with Associative Memory
TF-Tile: an efficient sparse representation for real-valued data
Compressed Sensing and Sparse Recovery Algorithms and more!
On-the-fly computation of IR basis functions
Sparse representation solvers for P0- and P1-problems
Hybrid function sparse representation (HFSR) for super resolution
Implementation for the paper "SpaceNet: Make Free Space For Continual Learning" in PyTorch.
Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)
Dynamic matrix type and algorithms for sparse matrices
Implementation for the paper "Self-Attention Meta-Learner for Continual Learning" in PyTorch.
Various camera models (Full, Weak and Orthographic) are used to convert 3D real world points into 2D image pixel coordinates by simulating a 'virtual camera'
Content-oriented Sparse Representation (COSR) Denoising in CT Images with the Ability of Texture and Edge Preserving
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