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Found 4 papers, 1 papers with code
Scalable and Robust Tensor Ring Decomposition for Large-scale Data
Tensor ring (TR) decomposition has recently received increased attention due to its superior expressive performance for high-order tensors.
Coarse to Fine Two-Stage Approach to Robust Tensor Completion of Visual Data
To efficiently mitigate the effect of a large number of outliers on tensor recovery, we develop a new M-estimator-based robust tensor ring recovery method which can adaptively identify the outliers and alleviate their negative effect in the optimization.
Patch Tracking-based Streaming Tensor Ring Completion for Visual Data Recovery
In applications where the data arrives sequentially such as streaming video completion, the missing entries of the tensor need to be dynamically recovered in a streaming fashion.
Robust Low-tubal-rank Tensor Completion based on Tensor Factorization and Maximum Correntopy Criterion
The goal of tensor completion is to recover a tensor from a subset of its entries, often by exploiting its low-rank property.
