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). A General Loss-Based Nonnegative Matrix Factorization for Hyperspectral Unmixing. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-general-loss-based-nonnegative-matrix-factorization-for-hyperspectral-unmixing
MLA“A General Loss-Based Nonnegative Matrix Factorization for Hyperspectral Unmixing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-general-loss-based-nonnegative-matrix-factorization-for-hyperspectral-unmixing.
BibTeX@misc{4ortxyz_a-general-loss-based-nonnegative-matrix-factorization-for-hyperspectral-unmixing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A General Loss-Based Nonnegative Matrix Factorization for Hyperspectral Unmixing}}, year = {2026}, url = {https://4ort.xyz/entity/a-general-loss-based-nonnegative-matrix-factorization-for-hyperspectral-unmixing}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A General Loss-Based Nonnegative Matrix Factorization for Hyperspectral Unmixing — https://4ort.xyz/entity/a-general-loss-based-nonnegative-matrix-factorization-for-hyperspectral-unmixing (retrieved 2026-05-24)