Pages that link to "Item:Q2330690"

The following pages link to Low-rank tensor completion based on log-det rank approximation and matrix factorization (Q2330690):

Displaying 13 items.

• A new tensor multi-rank approximation with total variation regularization for tensor completion (Q2103433) (← links)
• Low-CP-rank tensor completion via practical regularization (Q2113663) (← links)
• Tensor completion via fully-connected tensor network decomposition with regularized factors (Q2149028) (← links)
• Nonlinear transform induced tensor nuclear norm for tensor completion (Q2162239) (← links)
• Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion (Q2183595) (← links)
• Matrix factorization for low-rank tensor completion using framelet prior (Q2195446) (← links)
• Low-rank tensor completion via smooth matrix factorization (Q2310630) (← links)
• Low-rank tensor completion using matrix factorization based on tensor train rank and total variation (Q2333730) (← links)
• Proximal gradient algorithm for nonconvex low tubal rank tensor recovery (Q2697553) (← links)
• High‐fidelity tensor‐decomposition based matrix formation for isogeometric buckling analysis of laminated shells with solid‐shell formulation (Q6092263) (← links)
• Riemannian conjugate gradient method for low-rank tensor completion (Q6132849) (← links)
• A generalized non-convex method for robust tensor completion (Q6134430) (← links)
• Provable stochastic algorithm for large-scale fully-connected tensor network decomposition (Q6184280) (← links)