Pages that link to "Item:Q6042940"

The following pages link to A new nonconvex low-rank tensor approximation method with applications to hyperspectral images denoising (Q6042940):

Displaying 11 items.

• Randomized SVD methods in hyperspectral imaging (Q693807) (← links)
• A patch-based low-rank tensor approximation model for multiframe image denoising (Q1675367) (← links)
• Adaptive dimension-discriminative low-rank tensor recovery for computational hyperspectral imaging (Q2054388) (← links)
• Classification of hyperspectral images as tensors using nonnegative CP decomposition (Q2189366) (← links)
• A novel non-convex low-rank tensor approximation model for hyperspectral image restoration (Q2243323) (← links)
• Nonnegative low rank tensor approximations with multidimensional image applications (Q2678968) (← links)
• The Sup-norm Perturbation of HOSVD and Low Rank Tensor Denoising (Q5381114) (← links)
• Hyperspectral image denoising via nonconvex logarithmic penalty (Q6484091) (← links)
• A stochastic ADMM algorithm for large-scale ptychography with weighted difference of anisotropic and isotropic total variation (Q6557664) (← links)
• Fully-connected tensor network decomposition and group sparsity for multitemporal images cloud removal (Q6648732) (← links)
• Non-local and fully connected tensor network decomposition for remote sensing image denoising (Q6662398) (← links)