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Handling Slice Permutations Variability in Tensor Recovery

AAAI 2022 · Learning theory and algorithms › Matrix and tensor methods · approach: Randomized tensor decomposition algorithms · 6 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Choose a frontal-slice order using a minimum-weight Hamiltonian circle before tensor recoveryTRPCA-SPV · Pavia University and Botswana hyperspectral image recoveryMPSNRHelped
Choose a frontal-slice order using a minimum-weight Hamiltonian circle rather than using TRPCA's fixed orderTRPCA · Pavia University, δ=5 and c=0.05:0.1:0.25MPSNR: 5dBHelped
Randomly permute frontal slices before recoveryTensor nuclear norm recovery · Color video bus, tubal rank r=30MPSNR: 32.45dB -> 29.27dBHurt
Vary κ in TRPCA-SPV (ablation)TRPCA-SPV · ORL and Pavia Universityaccuracy and PSNRNo clear effect

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