Home ›
Entities
› academia
› Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising
Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising
Research article (Neurocomputing, 2020) · cited 20× · AI/ML
Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising
Summary
Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising is a scholarly article[1].
Key Facts
Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising. Retrieved May 24, 2026, from https://4ort.xyz/entity/fast-algorithm-with-theoretical-guarantees-for-constrained-low-tubal-rank-tensor-recovery-in-hyperspectral-images-denois
MLA“Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fast-algorithm-with-theoretical-guarantees-for-constrained-low-tubal-rank-tensor-recovery-in-hyperspectral-images-denois.
BibTeX@misc{4ortxyz_fast-algorithm-with-theoretical-guarantees-for-constrained-low-tubal-rank-tensor-recovery-in-hyperspectral-images-denois_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising}}, year = {2026}, url = {https://4ort.xyz/entity/fast-algorithm-with-theoretical-guarantees-for-constrained-low-tubal-rank-tensor-recovery-in-hyperspectral-images-denois}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising — https://4ort.xyz/entity/fast-algorithm-with-theoretical-guarantees-for-constrained-low-tubal-rank-tensor-recovery-in-hyperspectral-images-denois (retrieved 2026-05-24)