Pages that link to "Item:Q5920549"
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The following pages link to Generalized low rank approximations of matrices (Q5920549):
Displaying 20 items.
- The theoretical analysis of GLRAM and its applications (Q856470) (← links)
- Inexact and incremental bilinear Lanczos components algorithms for high dimensionality reduction and image reconstruction (Q1677031) (← links)
- Estimation of the parameters of a weighted nuclear norm model and its application in image denoising (Q2023235) (← links)
- Effective implementation to reduce execution time of a low-rank matrix approximation problem (Q2231284) (← links)
- Transformed rank-1 lattices for high-dimensional approximation (Q2303354) (← links)
- On optimality of approximate low rank solutions of large-scale matrix equations (Q2454151) (← links)
- Structured low rank approximation of a Bezout matrix (Q2468365) (← links)
- An analytical algorithm for generalized low-rank approximations of matrices (Q2568089) (← links)
- (Q3447170) (← links)
- Real-Valued, Low Rank, Circulant Approximation (Q4443764) (← links)
- Approximation Schemes for Low-rank Binary Matrix Approximation Problems (Q4973060) (← links)
- Why Are Big Data Matrices Approximately Low Rank? (Q5025778) (← links)
- (Q5153527) (← links)
- On a Problem of Weighted Low-Rank Approximation of Matrices (Q5270419) (← links)
- Low-Rank Matrix Approximation Using Point-Wise Operators (Q5272166) (← links)
- Generalized low rank approximations of matrices (Q5896779) (← links)
- Low-rank approximation with <i> 1/𝜖 <sup>1/3</sup> </i> matrix-vector products (Q6083565) (← links)
- Robust factored principal component analysis for matrix-valued outlier accommodation and detection (Q6111536) (← links)
- Matrix-based vs. vector-based linear discriminant analysis: a comparison of regularized variants on multivariate time series data (Q6151931) (← links)
- Low-rank latent matrix-factor prediction modeling for generalized high-dimensional matrix-variate regression (Q6626885) (← links)
