LAUSR

Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion

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0 Published in 2019 at "Machine Learning"

DOI: 10.1007/s10994-019-05846-7

Abstract: In recent studies, tensor ring decomposition (TRD) has become a promising model for tensor completion. However, TRD suffers from the rank selection problem due to the undetermined multilinear rank. For tensor decomposition with missing entries,… read more here.

Keywords: tensor decomposition; completion; tensor; tensor ring ... See more keywords

Hyperspectral Image Denoising: Reconciling Sparse and Low-Tensor-Ring-Rank Priors in the Transformed Domain

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2 Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3237865

Abstract: Recently, the transform-based tensor nuclear norm (TNN) framework has yielded promising results for hyperspectral image (HSI) denoising as compared with previous original-domain tensor-based models. However, the TNN framework only exploits the low-rankness of each band… read more here.

Keywords: tensor ring; tensor; low tensor; sparse low ... See more keywords

Smooth Compact Tensor Ring Regression

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2 Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2020.3037131

Abstract: In learning tasks with high order correlations, the low-rank approximation of the regression coefficient tensor has become increasingly important. Tensor ring can capture more correlation information among tensor networks. However, its optimal rank is generally… read more here.

Keywords: mml mml; tensor ring; tensor; mml ... See more keywords

Incomplete Multiview Clustering via Low-Rank Tensor Ring Completion

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2 Published in 2023 at "International Journal of Intelligent Systems"

DOI: 10.1155/2023/7217818

Abstract: Since real-world multiview data frequently contains numerous samples that are not observed from some viewpoints, the incomplete multiview clustering (IMC) issue has received a great deal of attention recently. However, most existing IMC methods choose… read more here.

Keywords: tensor ring; tensor; low rank; incomplete multiview ... See more keywords

Noisy Tensor Completion via Low-rank Tensor Ring

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1 Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.48550/arxiv.2203.08857

Abstract: Tensor completion is a fundamental tool for incomplete data analysis, where the goal is to predict missing entries from partial observations. However, existing methods often make the explicit or implicit assumption that the observed entries… read more here.

Keywords: tensor ring; completion via; tensor; tensor completion ... See more keywords