Efficient nonnegative matrix factorization via projected Newton method

DOI10.1016/j.patcog.2012.02.037zbMath1242.68270OpenAlexW1987423550MaRDI QIDQ437490

Changshui Zhang, Pinghua Gong

Publication date: 17 July 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2012.02.037

zbMATH Keywords

nonnegative least squaresnonnegative matrix factorizationlow rankprojected Newton methodquadratic convergence rate

Mathematics Subject Classification ID

Related Items (11)

An efficient nonmonotone projected Barzilai–Borwein method for nonnegative matrix factorization with extrapolation ⋮ Quasi non-negative quaternion matrix factorization with application to color face recognition ⋮ Quadratic regularization projected Barzilai-Borwein method for nonnegative matrix factorization ⋮ Efficient Nonnegative Matrix Factorization by DC Programming and DCA ⋮ A symmetric rank-one quasi-Newton method for nonnegative matrix factorization ⋮ Image processing using Newton-based algorithm of nonnegative matrix factorization ⋮ An alternating nonmonotone projected Barzilai-Borwein algorithm of nonnegative factorization of big matrices ⋮ Iterative algorithm for the Q-weighted nonnegative matrix factorization ⋮ Numerical method for the generalized nonnegative tensor factorization problem ⋮ Active set type algorithms for nonnegative matrix factorization in hyperspectral unmixing ⋮ An efficient monotone projected Barzilai-Borwein method for nonnegative matrix factorization

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• Fast Projection‐Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
• Learning the parts of objects by non-negative matrix factorization
• Projected Gradient Methods for Nonnegative Matrix Factorization

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