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Iterative rank-one matrix completion via singular value decomposition and nuclear norm regularization - MaRDI portal

Iterative rank-one matrix completion via singular value decomposition and nuclear norm regularization (Q6089961)

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scientific article; zbMATH DE number 7779152

Language	Label	Description	Also known as
English	Iterative rank-one matrix completion via singular value decomposition and nuclear norm regularization	scientific article; zbMATH DE number 7779152

Statements

scholarly article

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Iterative rank-one matrix completion via singular value decomposition and nuclear norm regularization (English)

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Information Sciences

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publication date

15 December 2023

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zbMATH Keywords

matrix completion

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singular value decomposition

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nuclear norm regularization

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1016/j.ins.2021.07.035

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Robust quaternion matrix completion with applications to image inpainting

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Low Dimensional Manifold Model for Image Processing

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Iterative hard thresholding for compressed sensing

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Sparse subspace clustering for data with missing entries and high-rank matrix completion

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Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion

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Low-Rank Matrix Completion by Riemannian Optimization

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Light Field Inpainting Propagation via Low Rank Matrix Completion

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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

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Matrix Completion Based on Non-Convex Low-Rank Approximation

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The complexity of matrix completion

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Exact matrix completion via convex optimization

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Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions

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Weighted nuclear norm minimization and its applications to low level vision

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Robust Manhattan non-negative matrix factorization for image recovery and representation

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Low rank matrix completion by alternating steepest descent methods

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Matrix completion with \(\varepsilon\)-algorithm. In memory of Peter Wynn (1931--2017)

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Convergence of a block coordinate descent method for nondifferentiable minimization

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Efficient block-coordinate descent algorithms for the group Lasso

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\textsc{OCam}: out-of-core coordinate descent algorithm for matrix completion

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A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion

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Statistical complexity of the power method for Markov chains

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Identifiers

zbMATH Open document ID

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10.1016/j.ins.2021.07.035

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:6089961

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