Extends matrix adaptive randomized pivoting to tensor CUR approximations in the t-product framework, with direct bounds for one variant and alignment-conditioned bounds for the common-slice variant.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
Structured 3D-SVD delivers reconstruction quality near Tucker decomposition with shorter runtimes and beats CPD on accuracy and speed for biological 3D image compression and progressive reconstruction.
Defines trace-based metric and Bures-Wasserstein distance for PSD tensors, derives spectral eigenvalue bounds, and analyzes dependence on PSD condition with examples and complexity.
citing papers explorer
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Adaptive Randomized Pivoting for Tensor Singular Value Decomposition Model
Extends matrix adaptive randomized pivoting to tensor CUR approximations in the t-product framework, with direct bounds for one variant and alignment-conditioned bounds for the common-slice variant.
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Structured 3D-SVD: A Practical Framework for the Compression and Reconstruction of Biological Volumetric Images
Structured 3D-SVD delivers reconstruction quality near Tucker decomposition with shorter runtimes and beats CPD on accuracy and speed for biological 3D image compression and progressive reconstruction.
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Spectral Bounds for Tensors Derived from Trace Functionals and Wasserstein Distance in Tensor Spaces
Defines trace-based metric and Bures-Wasserstein distance for PSD tensors, derives spectral eigenvalue bounds, and analyzes dependence on PSD condition with examples and complexity.