Smoothed separable nonnegative matrix factorization
From MaRDI portal
Publication:6178776
DOI10.1016/j.laa.2023.07.013arXiv2110.05528OpenAlexW3206550165MaRDI QIDQ6178776
Nicolas Gillis, Nicolas Nadisic, Christophe Kervazo
Publication date: 5 September 2023
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2110.05528
separabilitynonnegative matrix factorizationsimplex-structured matrix factorizationblind hyperspectral unmixinglatent simplexpure-pixel search algorithms
Factorization of matrices (15A23) Computing methodologies for image processing (68U10) Numerical methods for low-rank matrix approximation; matrix compression (65F55)
Cites Work
- Sparse nonnegative matrix underapproximation and its application to hyperspectral image analysis
- Principal component analysis.
- Column subset selection is NP-complete
- Nonnegative matrix factorization for spectral data analysis
- Robustness Analysis of Hottopixx, a Linear Programming Model for Factoring Nonnegative Matrices
- Successive Nonnegative Projection Algorithm for Robust Nonnegative Blind Source Separation
- Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization
- Blind Separation of Quasi-Stationary Sources: Exploiting Convex Geometry in Covariance Domain
- A Fast Hyperplane-Based Minimum-Volume Enclosing Simplex Algorithm for Blind Hyperspectral Unmixing
- Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix Factorization Framework via Facet Enumeration and Convex Optimization
- Simplex-Structured Matrix Factorization: Sparsity-Based Identifiability and Provably Correct Algorithms
- Finding a latent k–simplex in O* (k · nnz(data)) time via Subset Smoothing
- Learning the parts of objects by non-negative matrix factorization
- Computing a nonnegative matrix factorization -- provably
This page was built for publication: Smoothed separable nonnegative matrix factorization