PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images

Research article (IEEE Transactions on Multimedia, 2016) · cited 168× · AI/ML
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PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images

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PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/pltd-patch-based-low-rank-tensor-decomposition-for-hyperspectral-images
MLA “PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pltd-patch-based-low-rank-tensor-decomposition-for-hyperspectral-images.
BibTeX @misc{4ortxyz_pltd-patch-based-low-rank-tensor-decomposition-for-hyperspectral-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images}}, year = {2026}, url = {https://4ort.xyz/entity/pltd-patch-based-low-rank-tensor-decomposition-for-hyperspectral-images}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images — https://4ort.xyz/entity/pltd-patch-based-low-rank-tensor-decomposition-for-hyperspectral-images (retrieved 2026-05-24)

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