Algorithm for low-rank decomposition of partially symmetric tensors via flattening orthogonalization and shifted power method with global convergence proof.
Tensor-based synchronization and the low-rankness of the block trifocal tensor.Advances in Neural Information Processing Systems, 37:69505–69532
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Multi-subspace power method for decomposing partially symmetric tensors
Algorithm for low-rank decomposition of partially symmetric tensors via flattening orthogonalization and shifted power method with global convergence proof.