Coseparable nonnegative tensor factorization with t-CUR decomposition
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Publication:6623666
DOI10.1137/23M1625998MaRDI QIDQ6623666
Juefei Chen, Yimin Wei, Longxiu Huang
Publication date: 24 October 2024
Published in: SIAM Journal on Matrix Analysis and Applications (Search for Journal in Brave)
nonnegative matrix factorizationnonnegative tensor factorizationcoseparableCUR decompositiont-product
Factorization of matrices (15A23) Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Multilinear algebra, tensor calculus (15A69)
Cites Work
- Tensor Decompositions and Applications
- Tensor-Train Decomposition
- CUR matrix decompositions for improved data analysis
- Factorization strategies for third-order tensors
- A tensor-based dictionary learning approach to tomographic image reconstruction
- Perspectives on CUR decompositions
- T-Jordan canonical form and T-Drazin inverse based on the T-product
- Successive Nonnegative Projection Algorithm for Robust Nonnegative Blind Source Separation
- Nonlinear Model Reduction via Discrete Empirical Interpolation
- A Fast Gradient Method for Nonnegative Sparse Regression With Self-Dictionary
- Computation of generalized inverses of tensors via t‐product
- Tensor CUR Decomposition under T-Product and Its Perturbation
- Fast Randomized Algorithms for t-Product Based Tensor Operations and Decompositions with Applications to Imaging Data
- Nonnegative Tensor Decomposition
- Learning the parts of objects by non-negative matrix factorization
- Coseparable Nonnegative Matrix Factorization
- Robust Low-Tubal-rank tensor recovery Using Discrete Empirical Interpolation Method with Optimized Slice/Feature Selection
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