Nonnegative tensor factorizations using an alternating direction method

DOI10.1007/s11464-012-0264-8zbMath1263.15026OpenAlexW1986267753WikidataQ114222317 ScholiaQ114222317MaRDI QIDQ1945572

Yannan Chen, Deren Han, Xing-Ju Cai

Publication date: 8 April 2013

Published in: Frontiers of Mathematics in China (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11464-012-0264-8

zbMATH Keywords

numerical experimentsalternating direction methodnonnegative least squaresnonnegative matrix factorizationnonnegative tensor factorization

Mathematics Subject Classification ID

Related Items (5)

An alternating direction method of multipliers for elliptic equation constrained optimization problem ⋮ An efficient alternating direction method of multipliers for optimal control problems constrained by random Helmholtz equations ⋮ Numerical method for the generalized nonnegative tensor factorization problem ⋮ Convergence of alternating direction method for minimizing sum of two nonconvex functions with linear constraints ⋮ A multi-mode expansion method for boundary optimal control problems constrained by random Poisson equations

Uses Software

• TensorToolbox
• Algorithm 862

Cites Work

• Unnamed Item
• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• Email surveillance using non-negative matrix factorization
• An operator splitting method for variational inequalities with partially unknown mappings
• Algorithms and applications for approximate nonnegative matrix factorization
• Some convergence properties of a method of multipliers for linearly constrained monotone variational inequalities
• Alternating direction method with self-adaptive penalty parameters for monotone variational inequalities
• A new inexact alternating directions method for monotone variational inequalities
• Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons
• Algorithm 862
• On the Complexity of Nonnegative Matrix Factorization
• Efficient MATLAB Computations with Sparse and Factored Tensors
• Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method
• Learning the parts of objects by non-negative matrix factorization
• Projected Gradient Methods for Nonnegative Matrix Factorization

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