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What is Efficient Low-Rank Tensor Completion about?

This document presents a framework for low-rank tensor completion using a novel measurement scheme called Cross, which allows for efficient recovery of tensors from a minimal number of measurements. The proposed method achieves optimal sample complexity and is easy to implement, outperforming existing methods in literature. The effectiveness of the approach is demonstrated through theoretical analysis and simulation studies, including applications in neuroimaging.

Author

Eliot

Language

EN