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HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging

Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022) · cited 46× · AI/ML
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HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging

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HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging is a scholarly article[1].

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  • HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/hlrtf-hierarchical-low-rank-tensor-factorization-for-inverse-problems-in-multi-dimensional-imaging
MLA “HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hlrtf-hierarchical-low-rank-tensor-factorization-for-inverse-problems-in-multi-dimensional-imaging.
BibTeX @misc{4ortxyz_hlrtf-hierarchical-low-rank-tensor-factorization-for-inverse-problems-in-multi-dimensional-imaging_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging}}, year = {2026}, url = {https://4ort.xyz/entity/hlrtf-hierarchical-low-rank-tensor-factorization-for-inverse-problems-in-multi-dimensional-imaging}, note = {Accessed: 2026-05-24}}
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