ML Anthology

Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications

Kun Huang, Yi Ma, René Vidal
CVPR 2004 pp. 631-638
doi:10.1109/CVPR.2004.155 /cvpr/2004/huang2004cvpr-minimum/
CVPR Semantic Scholar

Cite

Text

Huang et al. "Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.155

Markdown

[Huang et al. "Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/huang2004cvpr-minimum/) doi:10.1109/CVPR.2004.155

BibTeX

@inproceedings{huang2004cvpr-minimum,
  title     = {{Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications}},
  author    = {Huang, Kun and Ma, Yi and Vidal, René},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {631-638},
  doi       = {10.1109/CVPR.2004.155},
  url       = {https://mlanthology.org/cvpr/2004/huang2004cvpr-minimum/}
}