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cs.LG2022
A high-order tensor completion algorithm based on Fully-Connected Tensor Network weighted optimization
Peilin Yang, Yonghui Huang, Yuning Qiu +2
Tensor completion aimes at recovering missing data, and it is one of the popular concerns in deep learning and signal processing. Among the higher-order tensor decomposition algori…
cs.LG2017★ 10 cited
Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering
Yuning Qiu, Guoxu Zhou, Kan Xie
Nonnegative Matrix Factorization (NMF) is a widely used technique for data representation. Inspired by the expressive power of deep learning, several NMF variants equipped with dee…