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cs.LG2023
Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation
Xiulin Wang, Jing Liu, Fengyu Cong
Tensor decomposition is a fundamental technique widely applied in signal processing, machine learning, and various other fields. However, traditional tensor decomposition methods e…
cs.LG2022★ 7 cited
PARAFAC2-based Coupled Matrix and Tensor Factorizations
Carla Schenker, Xiulin Wang, Evrim Acar
Coupled matrix and tensor factorizations (CMTF) have emerged as an effective data fusion tool to jointly analyze data sets in the form of matrices and higher-order tensors. The PAR…