Tensor Decomposition via Joint Matrix Schur Decomposition
ICML, pp. 2820-2828, 2016.
We describe an approach to tensor decomposition that involves extracting a set of observable matrices from the tensor and applying an approximate joint Schur decomposition on those matrices, and we establish the corresponding first-order perturbation bounds. We develop a novel iterative Gauss-Newton algorithm for joint matrix Schur decomp...More
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