M. J. Jones and P. A. Viola, Robust real-time face detection, ICCV, 2001.

M. Yang, D. K. Ahuja, and N. , Detecting faces in images: A survey, 2002.

G. Yang and T. S. Huang, Human face detection in a complex background, Pattern Recognition, vol.27, issue.1, 1994.
DOI : 10.1016/0031-3203(94)90017-5

K. Yow and R. Cipolla, Feature-based human face detection, Image and Vision Computing, vol.15, issue.9, 1997.
DOI : 10.1016/S0262-8856(97)00003-6

P. Sinha, Object recognition via image invariants: A case study, Investigative Ophthalmology and Visual Science, vol.35, 1994.

H. Rowley, S. Baluja, and T. Kanade, Neural network-based face detection, 1998.
DOI : 10.1109/cvpr.1996.517075

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.5546

K. K. Sung and T. Poggio, Example-based learning for view-based human face detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.1, 1998.
DOI : 10.1109/34.655648

H. Schneiderman and T. Kanade, A statistical method for 3D object detection applied to faces and cars, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2000.
DOI : 10.1109/CVPR.2000.855895

Y. Freund and R. E. Schapire, A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting, European Conference on Computational Learning Theory, 1995.
DOI : 10.1006/jcss.1997.1504

R. Lienhart and J. Maydt, An extended set of Haar-like features for rapid object detection, Proceedings. International Conference on Image Processing, 2002.
DOI : 10.1109/ICIP.2002.1038171

H. Schneiderman, Feature-centric evaluation for efficient cascaded object detection, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004.
DOI : 10.1109/CVPR.2004.1315141

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.69.5350

H. Luo, Optimization design of cascaded classifiers, CVPR, 2005.

C. Huang, H. Ai, Y. Li, and S. Lao, High-performance rotation invariant multi-view face detection, PAMI, 2007.
DOI : 10.1109/tpami.2007.1011

S. Yan, S. Shan, X. Chen, and W. Gao, Locally assembled binary (lab) feature with feature-centric cascade for fast and accurate face detection, CVPR, 2008.

G. Huang, M. Ramesh, T. Berg, and E. Learned-miller, Labeled faces in the wild: A database for studying face recognition in unconstrained environments, pp.7-49, 2007.

L. Karlinsky, M. Dinerstein, D. Levi, and S. Ullman, Unsupervised Classification and Part Localization by Consistency Amplification, ECCV, 2008.
DOI : 10.1007/978-3-540-88688-4_24

F. Jurie and B. Triggs, Creating efficient codebooks for visual recognition, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005.
DOI : 10.1109/ICCV.2005.66

URL : https://hal.archives-ouvertes.fr/inria-00548511

R. Neal and G. Hinton, A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants, Learning in Graphical Models, 1998.
DOI : 10.1007/978-94-011-5014-9_12

N. Friedman, The bayesian structural em algorithm, UAI, pp.129-138, 1998.

N. Dalal and B. Triggs, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.177

URL : https://hal.archives-ouvertes.fr/inria-00548512

B. Epshtein and S. Ullman, Identifying Semantically Equivalent Object Fragments, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.180

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.107.2683

F. Jurie and B. Triggs, Creating efficient codebooks for visual recognition, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005.
DOI : 10.1109/ICCV.2005.66

URL : https://hal.archives-ouvertes.fr/inria-00548511