Error Preserving Correction for CPD and Bounded-Norm CPD
Anh-Huy Phan; Petr Tichavský; Andrzej Cichocki · 2017 · arXiv
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Abstract (excerpt)
In CANDECOMP/PARAFAC tensor decomposition, degeneracy often occurs in some difficult scenarios, e.g., when the rank exceeds the tensor dimension, or when the loading components are highly collinear in several or all modes, or when CPD does not have an optimal solution. In such the cases, norms of some rank-1 terms become significantly large and cancel each other. This makes algorithms getting stuck in local minima while running a huge number of iterations does not improve the decomposition. In this paper, we propose an error preservation correction method to deal with such problem. Our aim is
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Metadata source: arXiv