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Online nonnegative CP-dictionary learning for Markovian data. (arXiv:2009.07612v3 [stat.ML] UPDATED)
Jan. 7, 2022, 2:10 a.m. | Hanbaek Lyu, Christopher Strohmeier, Deanna Needell
cs.LG updates on arXiv.org arxiv.org
Online Tensor Factorization (OTF) is a fundamental tool in learning
low-dimensional interpretable features from streaming multi-modal data. While
various algorithmic and theoretical aspects of OTF have been investigated
recently, a general convergence guarantee to stationary points of the objective
function without any incoherence or sparsity assumptions is still lacking even
for the i.i.d. case. In this work, we introduce a novel algorithm that learns a
CANDECOMP/PARAFAC (CP) basis from a given stream of tensor-valued data under
general constraints, including nonnegativity …
More from arxiv.org / cs.LG updates on arXiv.org
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