Privileged information-based conditional regression forest for facial feature detection. Yang, H. & Patras, I. In Proc. 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, pages 1--6, Shanghai, China, April, 2013. IEEE.
Privileged information-based conditional regression forest for facial feature detection [link]Paper  doi  bibtex   
@Inproceedings{Yang_2013_15428,
  author = {Yang, H. and Patras, I.},
 address = { Shanghai, China},
booktitle = {Proc. 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition},
 month = {April},
 pages = {1--6},
 publisher = {IEEE},
 title = {Privileged information-based conditional regression forest for facial feature detection},
 year = {2013},
 keywords = {Entropy,Estimation,Facial features,Head,Labelled Face Parts in the Wild dataset,Labelled Faces in the Wild dataset,Shape,Training,Vegetation,face recognition,facial feature detection,facial feature location localization,feature extraction,inductive inference,information gain,internal tree nodes,leaf node,learning (artificial intelligence),privileged information estimation,privileged information marginal probability,privileged information-based conditional regression forest,probability,regression analysis,regression models,split functions,svy,training patch,training phase,trees (mathematics)},
 url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=6553766},
 doi = {10.1109/FG.2013.6553766},
 snippets = {fg2013},
 title_with_no_special_chars = {Privileged informationbased conditional regression forest for facial feature detection}
}

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