Pages that link to "Item:Q91405"

The following pages link to Tensor Decompositions and Applications (Q91405):

Displaying 50 items.

• A framelet sparse reconstruction method for pansharpening with guaranteed convergence (Q6115635) (← links)
• A cheap preconditioner based on fast diagonalization method for matrix-free weighted-quadrature isogeometric analysis applied to nonlinear transient heat transfer problems (Q6116138) (← links)
• Optimal Methods for Convex Risk-Averse Distributed Optimization (Q6116242) (← links)
• Bayesian tensor response regression with an application to brain activation studies (Q6117929) (← links)
• Tensor factorization via transformed tensor-tensor product for image alignment (Q6119848) (← links)
• Extended tensor decomposition model reduction methods: training, prediction, and design under uncertainty (Q6120135) (← links)
• Gaussian orthogonal latent factor processes for large incomplete matrices of correlated data (Q6121983) (← links)
• Iterative tensor eigen rank minimization for low-rank tensor completion (Q6125187) (← links)
• On the stability of discrete-time homogeneous polynomial dynamical systems (Q6125418) (← links)
• Several efficient iterative algorithms for solving nonlinear tensor equation \(\mathcal{X} + \mathcal{A}^T \ast_N \mathcal{X}^{-1} \ast_N \mathcal{A} = \mathcal{I}\) with Einstein product (Q6125430) (← links)
• Top-\(k\) team synergy problem: capturing team synergy based on C3 (Q6125438) (← links)
• Tensor completion via multi-directional partial tensor nuclear norm with total variation regularization (Q6126122) (← links)
• A block-randomized stochastic method with importance sampling for CP tensor decomposition (Q6126539) (← links)
• Generalized temporal similarity-based nonnegative tensor decomposition for modeling transition matrix of dynamic collaborative filtering (Q6126690) (← links)
• Computation of the self-diffusion coefficient with low-rank tensor methods: application to the simulation of a cross-diffusion system (Q6127055) (← links)
• Robust low-rank tensor completion via new regularized model with approximate SVD (Q6127128) (← links)
• Adaptive tensor networks decomposition for high-order tensor recovery and compression (Q6127129) (← links)
• An efficient iterative method for solving a class of constrained tensor least squares problem (Q6131494) (← links)
• Riemannian conjugate gradient method for low-rank tensor completion (Q6132849) (← links)
• Spatial feature extraction non-negative tensor factorization for hyperspectral unmixing (Q6135569) (← links)
• HOBi-CGSTAB and HOBi-CRSTAB methods for solving some tensor equations (Q6138978) (← links)
• Incremental algorithms for truncated higher-order singular value decompositions (Q6139252) (← links)
• Variational Characterization of Monotone Nonlinear Eigenvector Problems and Geometry of Self-Consistent Field Iteration (Q6139650) (← links)
• N-mode minimal tensor extrapolation methods (Q6140891) (← links)
• A randomized algorithm for tensor singular value decomposition using an arbitrary number of passes (Q6143819) (← links)
• Parsimonious Tensor Discriminant Analysis (Q6144625) (← links)
• A sequential exploratory diagnostic model using a Pólya‐gamma data augmentation strategy (Q6145041) (← links)
• <scp>Tensor</scp> product decomposed multi‐material isogeometric topology optimization with explicit <scp>NURBS</scp> element stiffness computation (Q6148511) (← links)
• Bayesian Dynamic Tensor Regression (Q6149856) (← links)
• Generalized multilinear games and vertical tensor complementarity problems (Q6150642) (← links)
• The low-rank approximation of fourth-order partial-symmetric and conjugate partial-symmetric tensor (Q6151002) (← links)
• High-dimensional low-rank tensor autoregressive time series modeling (Q6152591) (← links)
• A neural tensor decomposition model for high-order sparse data recovery (Q6153224) (← links)
• HTR-CTO algorithm for wireless data recovery (Q6154797) (← links)
• Communication Lower Bounds and Optimal Algorithms for Multiple Tensor-Times-Matrix Computation (Q6154935) (← links)
• WINTENDED: WINdowed TENsor decomposition for densification event detection in time-evolving networks (Q6155196) (← links)
• Tensor decompositions for the bubbles and cube numerical framework (Q6155406) (← links)
• Multilinear discriminant analysis using tensor-tensorproducts (Q6156172) (← links)
• Tensor form of GPBiCG algorithm for solving the generalized Sylvester quaternion tensor equations (Q6157346) (← links)
• Scalable conditional deep inverse Rosenblatt transports using tensor trains and gradient-based dimension reduction (Q6158090) (← links)
• Accelerated doubly stochastic gradient descent for tensor CP decomposition (Q6161551) (← links)
• Least-squares bilinear clustering of three-way data (Q6161666) (← links)
• Convolution hierarchical deep-learning neural networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond (Q6164266) (← links)
• Statistical Inference for High-Dimensional Matrix-Variate Factor Models (Q6165291) (← links)
• On Best Low Rank Approximation of Positive Definite Tensors (Q6166055) (← links)
• Extreme Ratio Between Spectral and Frobenius Norms of Nonnegative Tensors (Q6166057) (← links)
• Deflated and restarted Krylov subspace methods for Sylvester tensor equations (Q6166090) (← links)
• A DCA-Newton method for quartic minimization over the sphere (Q6168057) (← links)
• A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion (Q6168342) (← links)
• Non-negative low-rank approximations for multi-dimensional arrays on statistical manifold (Q6170231) (← links)