Image processing using Newton-based algorithm of nonnegative matrix factorization

DOI10.1016/j.amc.2015.08.034zbMath1410.94008OpenAlexW1787361824MaRDI QIDQ668756

Gong-De Guo, Li-Ying Hu, Chang-Feng Ma

Publication date: 19 March 2019

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2015.08.034

zbMATH Keywords

image processingnonnegative matrix factorizationgradient directionNewton direction

Mathematics Subject Classification ID

Uses Software

• TRON
• ORL face

Cites Work

• Unnamed Item
• On positive-definite and skew-Hermitian splitting iteration methods for continuous Sylvester equation \(AX+XB=C\)
• Efficient nonnegative matrix factorization via projected Newton method
• On Hermitian and skew-Hermitian splitting iteration methods for the linear matrix equation \(AXB=C\)
• An alternating projected gradient algorithm for nonnegative matrix factorization
• Alternative gradient algorithms with applications to nonnegative matrix factorizations
• Algorithms and applications for approximate nonnegative matrix factorization
• Nonnegative matrix factorization for spectral data analysis
• Document clustering using nonnegative matrix factorization
• Hermitian and Skew-Hermitian Splitting Methods for Non-Hermitian Positive Definite Linear Systems
• Block Triangular and Skew-Hermitian Splitting Methods for Positive-Definite Linear Systems
• Newton's Method for Large Bound-Constrained Optimization Problems
• Fast Projection‐Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
• Learning the parts of objects by non-negative matrix factorization

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