ML Anthology

Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features

Michal Uricár, Radu Timofte, Rasmus Rothe, Jiri Matas, Luc Van Gool
CVPRW 2016 pp. 730-738
doi:10.1109/CVPRW.2016.96 /cvprw/2016/uricar2016cvprw-structured/
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Cite

Text

Uricár et al. "Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016. doi:10.1109/CVPRW.2016.96

Markdown

[Uricár et al. "Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016.](https://mlanthology.org/cvprw/2016/uricar2016cvprw-structured/) doi:10.1109/CVPRW.2016.96

BibTeX

@inproceedings{uricar2016cvprw-structured,
  title     = {{Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features}},
  author    = {Uricár, Michal and Timofte, Radu and Rothe, Rasmus and Matas, Jiri and Van Gool, Luc},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2016},
  pages     = {730-738},
  doi       = {10.1109/CVPRW.2016.96},
  url       = {https://mlanthology.org/cvprw/2016/uricar2016cvprw-structured/}
}