Pages that link to "Item:Q2340337"

The following pages link to Tensor principal component analysis via convex optimization (Q2340337):

Displaying 35 items.

• Parallel matrix factorization for low-rank tensor completion (Q256035) (← links)
• A note on semidefinite programming relaxations for polynomial optimization over a single sphere (Q341317) (← links)
• On cones of nonnegative quartic forms (Q525602) (← links)
• Approximation algorithms for optimization of real-valued general conjugate complex forms (Q683722) (← links)
• Approximation methods for complex polynomial optimization (Q742305) (← links)
• Managing randomization in the multi-block alternating direction method of multipliers for quadratic optimization (Q823888) (← links)
• A hybrid second-order method for homogenous polynomial optimization over unit sphere (Q2014677) (← links)
• Shifted eigenvalue decomposition method for computing C-eigenvalues of a piezoelectric-type tensor (Q2052265) (← links)
• The nonconvex tensor robust principal component analysis approximation model via the weighted \(\ell_p\)-norm regularization (Q2053328) (← links)
• Computing the largest C-eigenvalue of a tensor using convex relaxation (Q2115256) (← links)
• Optimization landscape of Tucker decomposition (Q2144548) (← links)
• On the optimization landscape of tensor decompositions (Q2144549) (← links)
• On approximation algorithm for orthogonal low-rank tensor approximation (Q2159448) (← links)
• Several approximation algorithms for sparse best rank-1 approximation to higher-order tensors (Q2162522) (← links)
• On norm compression inequalities for partitioned block tensors (Q2174201) (← links)
• On decompositions and approximations of conjugate partial-symmetric tensors (Q2240646) (← links)
• The generalized degrees of freedom of multilinear principal component analysis (Q2274928) (← links)
• Optimization on the hierarchical Tucker manifold - applications to tensor completion (Q2350002) (← links)
• Properties and methods for finding the best rank-one approximation to higher-order tensors (Q2450904) (← links)
• An approximation method of CP rank for third-order tensor completion (Q2662903) (← links)
• Parallel active subspace decomposition for tensor robust principal component analysis (Q2667350) (← links)
• Characterizing real-valued multivariate complex polynomials and their symmetric tensor representations (Q2797107) (← links)
• Successive Rank-One Approximations for Nearly Orthogonally Decomposable Symmetric Tensors (Q3456878) (← links)
• Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems (Q3465242) (← links)
• (Q4022003) (← links)
• (Q4574565) (← links)
• Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives (Q4593746) (← links)
• Tensor Dictionary Learning for Positive Definite Matrices (Q4613197) (← links)
• Tensor Methods for Equality Constrained Optimization (Q4895615) (← links)
• Tensor Canonical Correlation Analysis With Convergence and Statistical Guarantees (Q5066457) (← links)
• (Q5149011) (← links)
• The low-rank approximation of fourth-order partial-symmetric and conjugate partial-symmetric tensor (Q6151002) (← links)
• A DCA-Newton method for quartic minimization over the sphere (Q6168057) (← links)
• Approximating Tensor Norms via Sphere Covering: Bridging the Gap between Primal and Dual (Q6176424) (← links)
• A Lagrange–Newton algorithm for tensor sparse principal component analysis (Q6611219) (← links)