Pages that link to "Item:Q91405"

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

Displaying 50 items.

• Structuring data with block term decomposition: decomposition of joint tensors and variational block term decomposition as a parametrized mixture distribution model (Q2038495) (← links)
• Melonic dominance and the largest eigenvalue of a large random tensor (Q2038976) (← links)
• Biquadratic tensors, biquadratic decompositions, and norms of biquadratic tensors (Q2040653) (← links)
• Tensor extrapolation methods with applications (Q2041511) (← links)
• Numerical study on Moore-Penrose inverse of tensors via Einstein product (Q2041532) (← links)
• Numerical ranges of even-order tensor (Q2042385) (← links)
• Sparse random tensors: concentration, regularization and applications (Q2044387) (← links)
• Noninvasive fetal ECG extraction using doubly constrained block-term decomposition (Q2045665) (← links)
• Grassmann inequalities and extremal varieties in \(\mathbb{P}\left(\bigwedge^p\mathbb{R}^n\right)\) (Q2046542) (← links)
• An efficient randomized algorithm for computing the approximate Tucker decomposition (Q2049079) (← links)
• A model reduction approach for inverse problems with operator valued data (Q2049926) (← links)
• A Barzilai-Borwein gradient algorithm for spatio-temporal Internet traffic data completion via tensor triple decomposition (Q2051078) (← links)
• Reshaped tensor nuclear norms for higher order tensor completion (Q2051256) (← links)
• Generalized eigenvalue decomposition applied to estimation of spatial rPPG distribution of skin (Q2051534) (← links)
• The nonconvex tensor robust principal component analysis approximation model via the weighted \(\ell_p\)-norm regularization (Q2053328) (← links)
• Adaptive dimension-discriminative low-rank tensor recovery for computational hyperspectral imaging (Q2054388) (← links)
• The LSQR method for solving tensor least-squares problems (Q2055520) (← links)
• Multi-aspect renewable energy forecasting (Q2055561) (← links)
• Some iterative approaches for Sylvester tensor equations. II: A tensor format of simpler variant of GCRO-based methods (Q2058413) (← links)
• Some iterative approaches for Sylvester tensor equations. I: A tensor format of truncated loose simpler GMRES (Q2058414) (← links)
• Data-driven reduced order modeling based on tensor decompositions and its application to air-wall heat transfer in buildings (Q2059136) (← links)
• Regularized matrix-variate logistic regression with response subject to misclassification (Q2059430) (← links)
• A gradient based iterative method and associated preconditioning technique for solving the large multilinear systems (Q2059724) (← links)
• Low-rank tensor approximation of singularly perturbed boundary value problems in one dimension (Q2059731) (← links)
• Solving differential Riccati equations: a nonlinear space-time method using tensor trains (Q2061362) (← links)
• Tensor Arnoldi-Tikhonov and GMRES-type methods for ill-posed problems with a t-product structure (Q2063214) (← links)
• Approximate minimization of weighted tree automata (Q2064525) (← links)
• Joint Bayesian estimation of voxel activation and inter-regional connectivity in fMRI experiments (Q2065243) (← links)
• Implicit consensus clustering from multiple graphs (Q2066641) (← links)
• Decomposition for a quaternion tensor triplet with applications (Q2067212) (← links)
• Triangular decomposition of CP factors of a third-order tensor with application to solving nonlinear systems of equations (Q2067307) (← links)
• Hardness results for multimarginal optimal transport problems (Q2067496) (← links)
• Iterative methods for solving Sylvester transpose tensor equation \(\mathcal A\star_N\mathcal X\star_M\mathcal{B}+\mathcal{C}\star_M\mathcal X^T\star_N\mathcal{D}=\mathcal{E} \) (Q2068845) (← links)
• On secant dimensions and identifiability of flag varieties (Q2069822) (← links)
• A proximal point like method for solving tensor least-squares problems (Q2070322) (← links)
• Riemannian Newton optimization methods for the symmetric tensor approximation problem (Q2070849) (← links)
• Parameter estimation for nonlinear Volterra systems by using the multi-innovation identification theory and tensor decomposition (Q2071236) (← links)
• Tensor Q-rank: new data dependent definition of tensor rank (Q2071330) (← links)
• Non-intrusive data-driven model reduction for differential-algebraic equations derived from lifting transformations (Q2072439) (← links)
• HiDeNN-TD: reduced-order hierarchical deep learning neural networks (Q2072507) (← links)
• On large-scale dynamic topic modeling with nonnegative CP tensor decomposition (Q2072587) (← links)
• Community detection on mixture multilayer networks via regularized tensor decomposition (Q2073701) (← links)
• Tensorial conditional gradient method for solving multidimensional ill-posed problems (Q2073955) (← links)
• Equivalent polyadic decompositions of matrix multiplication tensors (Q2074879) (← links)
• Tensor approximation of cooperative games and their semivalues (Q2076973) (← links)
• Projection schemes based on Hessenberg process for Sylvester tensor equation with low-rank right-hand side (Q2084994) (← links)
• A Riemannian gradient ascent algorithm with applications to orthogonal approximation problems of symmetric tensors (Q2085661) (← links)
• Weakening convergence conditions of a potential reduction method for tensor complementarity problems (Q2086932) (← links)
• Alternate algorithms to most referenced techniques of numerical optimization to solve the symmetric rank-\(R\) approximation problem of symmetric tensors (Q2087499) (← links)
• On the solvability of tensor absolute value equations (Q2091149) (← links)