427 citations · 845 across the 28 of their papers we have counts for
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math.NA2016★ 427 cited
Efficient tensor completion for color image and video recovery: Low-rank tensor train
Johann A. Bengua, Ho N. Phien, Hoang D. Tuan +1
This paper proposes a novel approach to tensor completion, which recovers missing entries of data represented by tensors. The approach is based on the tensor train (TT) rank, which…
math.NA2016★ 26 cited
Efficient tensor completion: Low-rank tensor train
Ho N. Phien, Hoang D. Tuan, Johann A. Bengua +1
This paper proposes a novel formulation of the tensor completion problem to impute missing entries of data represented by tensors. The formulation is introduced in terms of tensor…