Pages that link to "Item:Q2224917"

The following pages link to Nonconvex tensor rank minimization and its applications to tensor recovery (Q2224917):

Displaying 17 items.

• Rank related properties for basis pursuit and total variation regularization (Q971066) (← links)
• Recovery algorithms for high-dimensional rank one tensors (Q1801175) (← links)
• Tensor \(N\)-tubal rank and its convex relaxation for low-rank tensor recovery (Q2023171) (← links)
• Tensor theta norms and low rank recovery (Q2048814) (← links)
• The nonconvex tensor robust principal component analysis approximation model via the weighted \(\ell_p\)-norm regularization (Q2053328) (← links)
• Nonconvex optimization for robust tensor completion from grossly sparse observations (Q2219800) (← links)
• A non-convex tensor rank approximation for tensor completion (Q2293872) (← links)
• Robust subspace clustering based on non-convex low-rank approximation and adaptive kernel (Q2660741) (← links)
• Nonnegative low rank tensor approximations with multidimensional image applications (Q2678968) (← links)
• Minimax Lower Bounds on Dictionary Learning for Tensor Data (Q4569215) (← links)
• Robust Low-Rank Tensor Minimization via a New Tensor Spectral $k$ -Support Norm (Q5105063) (← links)
• Robust Low-Rank Tensor Recovery via Nonconvex Singular Value Minimization (Q5105979) (← links)
• Low-rank tensor data reconstruction and denoising via ADMM: algorithm and convergence analysis (Q6057163) (← links)
• Iterative tensor eigen rank minimization for low-rank tensor completion (Q6125187) (← links)
• Tensor completion via multi-directional partial tensor nuclear norm with total variation regularization (Q6126122) (← links)
• HTR-CTO algorithm for wireless data recovery (Q6154797) (← links)
• Mixed norm regularized models for low-rank tensor completion (Q6544608) (← links)