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20172019
most citedFirst-Order Perturbation Analysis of the SECSI Framework for the Approximate CP Decomposition of 3-D Noise-Corrupted Low-Rank Tensors

3 citations · 6 across the 3 of their papers we have counts for

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cs.IT2017★ 3 cited

First-Order Perturbation Analysis of the SECSI Framework for the Approximate CP Decomposition of 3-D Noise-Corrupted Low-Rank Tensors

Sher Ali Cheema, Emilio Rafael Balda, Yao Cheng +3

The Semi-Algebraic framework for the approximate Canonical Polyadic (CP) decomposition via SImultaneaous matrix diagonalization (SECSI) is an efficient tool for the computation of…