ML Anthology

Robust Non-Negative Graph Embedding: Towards Noisy Data, Unreliable Graphs, and Noisy Labels

Hanwang Zhang, Zheng-Jun Zha, Shuicheng Yan, Meng Wang, Tat-Seng Chua
CVPR 2012 pp. 2464-2471
doi:10.1109/CVPR.2012.6247961 /cvpr/2012/zhang2012cvpr-robust-a/
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Cite

Text

Zhang et al. "Robust Non-Negative Graph Embedding: Towards Noisy Data, Unreliable Graphs, and Noisy Labels." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012. doi:10.1109/CVPR.2012.6247961

Markdown

[Zhang et al. "Robust Non-Negative Graph Embedding: Towards Noisy Data, Unreliable Graphs, and Noisy Labels." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012.](https://mlanthology.org/cvpr/2012/zhang2012cvpr-robust-a/) doi:10.1109/CVPR.2012.6247961

BibTeX

@inproceedings{zhang2012cvpr-robust-a,
  title     = {{Robust Non-Negative Graph Embedding: Towards Noisy Data, Unreliable Graphs, and Noisy Labels}},
  author    = {Zhang, Hanwang and Zha, Zheng-Jun and Yan, Shuicheng and Wang, Meng and Chua, Tat-Seng},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2012},
  pages     = {2464-2471},
  doi       = {10.1109/CVPR.2012.6247961},
  url       = {https://mlanthology.org/cvpr/2012/zhang2012cvpr-robust-a/}
}