The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Learning the parts of objects by non-negative matrix factorization
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Cites
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The challenge of blending in large sky surveys
Melchior, P., Joseph, R., Sanchez, J., MacCrann, N., & Gruen, D. (2021) · Nature Reviews Physics · doi:10.1038/s42254-021-00353-y · Cited by 30
Misztal-Radecka, J., & Indurkhya, B. (2021) · Information Processing & Management · doi:10.1016/j.ipm.2021.102519 · Cited by 29
Online Non-Negative Convolutive Pattern Learning for Speech Signals
Wang, D., Vipperla, R., Evans, N., & Zheng, T. F. (2013) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2012.2222381 · Cited by 25
Robust 3D face modeling and reconstruction from frontal and side images
Jin, H., Wang, X., Zhong, Z., & Hua, J. (2017) · Computer Aided Geometric Design · doi:10.1016/j.cagd.2016.11.001 · Cited by 24
Quality indices for topic model selection and evaluation: a literature review and case study
Meaney, C., Stukel, T. A., Austin, P. C., Moineddin, R., Greiver, M., & Escobar, M. (2023) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-023-02216-1 · Cited by 23
PIntMF: Penalized Integrative Matrix Factorization method for multi-omics data
Pierre-Jean, M., Mauger, F., Deleuze, J.-F., & Le Floch, E. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btab786 · Cited by 20
Status consciousness in energy consumption: a systematic review
Ramakrishnan, A., & Creutzig, F. (2021) · Environmental Research Letters · doi:10.1088/1748-9326/abf003 · Cited by 20
Moon, S., & Lee, H. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11080686 · Cited by 19
Yin, K., Qian, D., Cheung, W. K., Fung, B. C. M., & Poon, J. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v33i01.33011246 · Cited by 19
Sun, D., Adduru, V. R., Phillips, R. D., Bouchard, H. C., Sotiras, A., Michael, A. M., Baker, F. C., Tapert, S. F., Brown, S. A., Clark, D. B., et al. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-022-01457-4 · Cited by 18
Efficient representations of binarized health deficit data: the frailty index and beyond
Pridham, G., Rockwood, K., & Rutenberg, A. (2023) · GeroScience · doi:10.1007/s11357-022-00723-z · Cited by 17
Dimension reduction of microbiome data linked Bifidobacterium and Prevotella to allergic rhinitis
Komaki, S., Sahoyama, Y., Hachiya, T., Koseki, K., Ogata, Y., Hamazato, F., Shiozawa, M., Nakagawa, T., Suda, W., Hattori, M., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-57934-x · Cited by 13
MOOCs Meet Measurement Theory: A Topic-Modelling Approach
He, J., Rubinstein, B., Bailey, J., Zhang, R., Milligan, S., & Chan, J. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v30i1.10151 · Cited by 10
Tijms, B. M., Vromen, E. M., Mjaavatten, O., Holstege, H., Reus, L. M., van der Lee, S., Wesenhagen, K. E., Lorenzini, L., Vermunt, L., Venkatraghavan, V., et al. (2023) · doi:10.1101/2023.05.10.23289793 · Cited by 10
A bias detection tree approach for detecting disparities in a recommendation model’s errors
Misztal-Radecka, J., & Indurkhya, B. (2023) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-022-09334-x · Cited by 4
Hofmarcher, P., Vavra, J., Adhikari, S., & Grün, B. (2025) · Journal of Applied Econometrics · doi:10.1002/jae.3125 · Cited by 4
TFXcan reveals transcription factor programs driving GWAS loci
Adeluwa, T., Salazar-Magaña, S., Sumner, S., Gona, S., Nyasimi, F., Carbonetto, P., Baca, S. C., Freedman, M., Gusev, A., Liu, B., et al. (2026) · Cell Genomics · doi:10.1016/j.xgen.2026.101398
Metadata
- Authors
- Lee, D. D., & Seung, H. S.
- Venue
- Nature
- Published
- 1999-10
- Volume
- 401
- Issue
- 6755
- Pages
- 788-791
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1902027874
- Cited by
- 13,868
- References
- 8
- FWCI
- 47.91
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.