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Found 4 papers, 1 papers with code
A Unified Framework for Coupled Tensor Completion
To let coupled tensors help each other for missing component estimation, in this paper we utilize TR for coupled completion by sharing parts of the latent factors.
Robust Low-Rank Tensor Ring Completion
To further deal with its sensitivity to sparse component as it does in tensor principle component analysis, we propose robust tensor ring completion (RTRC), which separates latent low-rank tensor component from sparse component with limited number of measurements.
Low-rank Tensor Grid for Image Completion
The recently proposed methods based on tensor train (TT) and tensor ring (TR) show better performance in image recovery than classical ones.
Provable Tensor Ring Completion
Tensor completion recovers a multi-dimensional array from a limited number of measurements.
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