Pages that link to "Item:Q1681803"
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The following pages link to Lower bounds for the low-rank matrix approximation (Q1681803):
Displaying 19 items.
- A Schatten-\(q\) low-rank matrix perturbation analysis via perturbation projection error bound (Q821008) (← links)
- Random perturbation of low rank matrices: improving classical bounds (Q1688904) (← links)
- Convex low rank approximation (Q1991504) (← links)
- Lower bounds for matrix factorization (Q2041242) (← links)
- Low phase-rank approximation (Q2074973) (← links)
- Low-rank matrix approximation in the infinity norm (Q2273885) (← links)
- On optimality of approximate low rank solutions of large-scale matrix equations (Q2454151) (← links)
- Low rank approximation of the symmetric positive semidefinite matrix (Q2511200) (← links)
- On low rank approximation of linear operators in \(p\)-norms and some algorithms (Q2821088) (← links)
- Low-Rank Matrix Approximations Do Not Need a Singular Value Gap (Q3119542) (← links)
- Orthogonalization Via Deflation: A Minimum Norm Approach for Low-Rank Approximations of a Matrix (Q3609023) (← links)
- Shrinkage function and its applications in matrix approximation (Q4594671) (← links)
- Approximation Schemes for Low-rank Binary Matrix Approximation Problems (Q4973060) (← links)
- Why Are Big Data Matrices Approximately Low Rank? (Q5025778) (← links)
- Lower bounds for matrix factorization (Q5092452) (← links)
- A separable surrogate function method for sparse and low-rank matrices decomposition (Q5110318) (← links)
- (Q5139649) (← links)
- On a Problem of Weighted Low-Rank Approximation of Matrices (Q5270419) (← links)
- Low-rank approximation with <i> 1/𝜖 <sup>1/3</sup> </i> matrix-vector products (Q6083565) (← links)
