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Preprint Aug 2026

Tensor Orthogonal Subspace Split: Theory and Applications

Tensor representations have emerged as a fundamental paradigm for modeling multidimensional data by preserving intrinsic correlations across multiple modes. This paper proposes a novel theoretical framework, termed Tensor Orthogonal Subspace Split (TOSS), which explicitly splits a tensor, along a prescribed mode, into...

Jifei Miao, Juan Han, M. K. Ng et al. · 0 citations
Open access Sep 2026

Tensor Completion using Subspace Information

Tensor completion has attracted significant attention in both applications and theoretical research. Under standard uniform sampling, existing polynomial-time guarantees generally require more observations than the number of degree of freedom, motivating the study of a possible statistical-to-computational gap in highl...

Jing-Yang Li, M. K. Ng · 0 citations

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