tproduct

swMATH34460MaRDI QIDQ46169

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Source code repository: https://github.com/canyilu/tproduct

Related Items (37)

Tensor train rank minimization with hybrid smoothness regularization for visual data recovery ⋮ Deep random walk of unitary invariance for large-scale data representation ⋮ T-product tensors. II: Tail bounds for sums of random T-product tensors ⋮ Adaptive singular value shrinkage estimate for low rank tensor denoising ⋮ Tensor completion via fully-connected tensor network decomposition with regularized factors ⋮ Fast multidimensional completion and principal component analysis methods via the cosine product ⋮ An efficient algorithm for computing the approximate t-URV and its applications ⋮ Tensor CUR Decomposition under T-Product and Its Perturbation ⋮ Background subtraction with Kronecker-basis-representation based tensor sparsity and \(l_{1,1,2}\) norm ⋮ Robust low transformed multi-rank tensor methods for image alignment ⋮ Continuity, differentiability and semismoothness of generalized tensor functions ⋮ Proximal gradient algorithm for nonconvex low tubal rank tensor recovery ⋮ Nonconvex optimization for robust tensor completion from grossly sparse observations ⋮ New robust regularized shrinkage regression for high-dimensional image recovery and alignment via affine transformation and Tikhonov regularization ⋮ Multiview Clustering of Images with Tensor Rank Minimization via Nonconvex Approach ⋮ Exact matrix completion based on low rank Hankel structure in the Fourier domain ⋮ New robust PCA for outliers and heavy sparse noises' detection via affine transformation, the \(L_{\ast, w}\) and \(L_{2,1}\) norms, and spatial weight matrix in high-dimensional images: from the perspective of signal processing ⋮ One-bit tensor completion via transformed tensor singular value decomposition ⋮ Discrete cosine transform LSQR and GMRES methods for multidimensional ill-posed problems ⋮ Tensor \(N\)-tubal rank and its convex relaxation for low-rank tensor recovery ⋮ T-positive semidefiniteness of third-order symmetric tensors and T-semidefinite programming ⋮ Tensor extrapolation methods with applications ⋮ Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm ⋮ The nonconvex tensor robust principal component analysis approximation model via the weighted \(\ell_p\)-norm regularization ⋮ RIP-based performance guarantee for low-tubal-rank tensor recovery ⋮ Tensor neural network models for tensor singular value decompositions ⋮ Tensor Arnoldi-Tikhonov and GMRES-type methods for ill-posed problems with a t-product structure ⋮ Moving objects detection with a moving camera: a comprehensive review ⋮ Tensor Q-rank: new data dependent definition of tensor rank ⋮ Perturbation analysis for t-product-based tensor inverse, Moore-Penrose inverse and tensor system ⋮ Nonlocal robust tensor recovery with nonconvex regularization ^* ⋮ Robust tensor recovery with nonconvex and nonsmooth regularization ⋮ Regularized Kaczmarz Algorithms for Tensor Recovery ⋮ Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms ⋮ Tensor completion via a generalized transformed tensor t-product decomposition without t-SVD ⋮ A new tensor multi-rank approximation with total variation regularization for tensor completion ⋮ A tensor regularized nuclear norm method for image and video completion

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