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Li, H. (author), Li, Zixuan (author), Li, Kenli (author), Rellermeyer, Jan S. (author), Chen, Lydia Y. (author), Li, Keqin (author)Sparse Tucker Decomposition (STD) algorithms learn a core tensor and a group of factor matrices to obtain an optimal low-rank representation feature for the High-Order, High-Dimension, and Sparse Tensor (HOHDST). However, existing STD algorithms face the problem of intermediate variables explosion which results from the fact that the...journal article 2021