Jun 16, 2024 · t-CCS effectively bridges the gap between Bernoulli and t-CUR sampling, offering additional flexibility that can lead to computational savings ...
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Jun 16, 2024 · t-CCS effectively bridges the gap between Bernoulli and t-CUR sampling, offering additional flexibility that can lead to computational savings ...
The goal of tensor completion is to recover a tensor from a subset of its entries, often by exploiting its low-rank property. Among several useful definitions ...
In this paper, the goal is to complete a tensor from its partial noisy observations. Specifically, we consider low-tubal-rank tensors sampled by element-wise ...
Jun 17, 2024 · This paper introduces a new tensor completion algorithm called GSFL that offers guaranteed sampling flexibility, improved theoretical guarantees ...
Guaranteed Sampling Flexibility for Low-tubal-rank Tensor Completion · no code implementations • 16 Jun 2024 • Bowen Su, Juntao You, HanQin Cai, Longxiu Huang.
Guaranteed Sampling Flexibility for Low-tubal-rank Tensor Completion. Submitted. H.Q. Cai, L. Huang, X. Lu, and J. You. Accelerating Ill-conditioned Hankel ...
This article discusses a useful tool in dimensionality reduction and low-rank matrix approximation called the CUR decomposition.
Furthermore, we adopt invertible linear transforms to obtain low tubal rank tensors, which makes the model more flexible and effective. Two efficient ...
A theoretical guarantee of low-rank tensor completion without incoherence. A novel two-phase adaptive sampling strategy. Extensive experiments illustrate the ...