Pages that link to "Item:Q4573905"
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The following pages link to Sparse Bayesian Methods for Low-Rank Matrix Estimation (Q4573905):
Displaying 17 items.
- Numerical comparisons between Bayesian and frequentist low-rank matrix completion: estimation accuracy and uncertainty quantification (Q123602) (← links)
- A novel robust principal component analysis method for image and video processing. (Q265164) (← links)
- Variational Bayesian sparse additive matrix factorization (Q374134) (← links)
- Decomposition into low-rank plus additive matrices for background/foreground separation: a review for a comparative evaluation with a large-scale dataset (Q518124) (← links)
- On the estimation of a large sparse Bayesian system: the Snaer program (Q1023766) (← links)
- Bayesian robust principal component analysis with structured sparse component (Q1658445) (← links)
- Bayesian rank penalization (Q2183683) (← links)
- Bayesian robust principal component analysis with adaptive singular value penalty (Q2193641) (← links)
- Weighted nuclear norm minimization and its applications to low level vision (Q2193874) (← links)
- Connection between the selection problem for a sparse submatrix of a large-size matrix and the Bayesian problem of hypotheses testing (Q2199139) (← links)
- (Q3021689) (← links)
- Bayesian Orthogonal Component Analysis for Sparse Representation (Q4570254) (← links)
- Disordered systems insights on computational hardness (Q5055432) (← links)
- Bayesian singular value regularization via a cumulative shrinkage process (Q5093737) (← links)
- Variational Bayesian inference for CP tensor completion with subspace information (Q6180798) (← links)
- Adaptive variational Bayes: optimality, computation and applications (Q6192331) (← links)
- Robust singular value decomposition with application to video surveillance background modelling (Q6643209) (← links)
