ML Anthology

Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models

Fernando De la Torre, Alvaro Collet, Manuel Quero, Jeffrey F. Cohn, Takeo Kanade
CVPR 2007
doi:10.1109/CVPR.2007.383056 /cvpr/2007/latorre2007cvpr-filtered/
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Cite

Text

De la Torre et al. "Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383056

Markdown

[De la Torre et al. "Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/latorre2007cvpr-filtered/) doi:10.1109/CVPR.2007.383056

BibTeX

@inproceedings{latorre2007cvpr-filtered,
  title     = {{Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models}},
  author    = {De la Torre, Fernando and Collet, Alvaro and Quero, Manuel and Cohn, Jeffrey F. and Kanade, Takeo},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383056},
  url       = {https://mlanthology.org/cvpr/2007/latorre2007cvpr-filtered/}
}