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Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure

Research article (2018 25th IEEE International Conference on Image Processing (ICIP), 2018) · cited 22× · AI/ML
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Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure

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Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure is a scholarly article[1].

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  • Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure. Retrieved May 24, 2026, from https://4ort.xyz/entity/hyperspectral-super-resolution-combining-low-rank-tensor-and-matrix-structure
MLA “Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hyperspectral-super-resolution-combining-low-rank-tensor-and-matrix-structure.
BibTeX @misc{4ortxyz_hyperspectral-super-resolution-combining-low-rank-tensor-and-matrix-structure_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hyperspectral Super-Resolution: Combining Low Rank Tensor and Matrix Structure}}, year = {2026}, url = {https://4ort.xyz/entity/hyperspectral-super-resolution-combining-low-rank-tensor-and-matrix-structure}, note = {Accessed: 2026-05-24}}
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