Robust Semi-Supervised Non-Negative Matrix Factorization With Structured Normalization

Liujing Wang, Naiyang Guan, Dianxi Shi, Zunlin Fan, Longfei Su

Open source

DOI
10.1109/access.2019.2941219
Published
2019
Container
IEEE Access
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1109/access.2019.2941219,
  title = {Robust Semi-Supervised Non-Negative Matrix Factorization With Structured Normalization},
  author = {Liujing Wang and Naiyang Guan and Dianxi Shi and Zunlin Fan and Longfei Su},
  year = {2019},
  journal = {IEEE Access},
  doi = {10.1109/access.2019.2941219},
  url = {https://doi.org/10.1109/access.2019.2941219}
}

RIS

TY  - JOUR
TI  - Robust Semi-Supervised Non-Negative Matrix Factorization With Structured Normalization
AU  - Liujing Wang
AU  - Naiyang Guan
AU  - Dianxi Shi
AU  - Zunlin Fan
AU  - Longfei Su
PY  - 2019
JO  - IEEE Access
DO  - 10.1109/access.2019.2941219
UR  - https://doi.org/10.1109/access.2019.2941219
ER  - 

APA

Wang, L., Guan, N., Shi, D., Fan, Z., & Su, L. (2019). Robust Semi-Supervised Non-Negative Matrix Factorization With Structured Normalization. IEEE Access. https://doi.org/10.1109/access.2019.2941219

Source records