G. B. 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.

V. Jain, A. Ferencz, and E. Learned-miller, Discriminative Training of Hyper-feature Models for Object Identification, Procedings of the British Machine Vision Conference 2006, 2006.
DOI : 10.5244/C.20.37

A. Ferencz, E. G. Learned-miller, and J. Malik, Building a classification cascade for visual identification from one example, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, pp.286-293, 2005.
DOI : 10.1109/ICCV.2005.52

A. Ferencz, E. Learned-miller, and J. Malik, Learning hyper-features for visual identification, Neural Information Processing Systems, 2004.
DOI : 10.1007/s11263-007-0093-5

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

E. Nowak and F. Jurie, Learning Visual Similarity Measures for Comparing Never Seen Objects, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.382969

URL : https://hal.archives-ouvertes.fr/hal-00203958

P. Geurts, D. Ernst, and L. Wehenkel, Extremely randomized trees, Machine Learning, vol.63, issue.1, pp.3-42, 2006.
DOI : 10.1007/s10994-006-6226-1

URL : https://hal.archives-ouvertes.fr/hal-00341932

R. Brunelli and T. Poggio, Face recognition: features versus templates, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.15, issue.10, pp.1042-1052, 1993.
DOI : 10.1109/34.254061

L. Wiskott, J. M. Fellous, N. Krüger, and C. Von-der-malsburg, Face recognition by elastic bunch graph matching, Proceedings of International Conference on Image Processing, pp.775-779, 1997.
DOI : 10.1109/ICIP.1997.647401

E. Meyers and L. Wolf, Using Biologically Inspired Features for Face Processing, International Journal of Computer Vision, vol.3, issue.11, pp.93-104, 2008.
DOI : 10.1007/s11263-007-0058-8

X. Tan and B. Triggs, Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition, LNCS, vol.4778, pp.235-249, 2007.
DOI : 10.1007/978-3-540-75690-3_18

URL : https://hal.archives-ouvertes.fr/inria-00548672

T. Ojala, M. Pietikainen, and D. Harwood, A comparative study of texture measures with classification based on featured distributions, Pattern Recognition, vol.29, issue.1, pp.51-59, 1996.
DOI : 10.1016/0031-3203(95)00067-4

T. Ojala, M. Pietikäinen, and T. Mäenpää, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.7, pp.24-971, 2002.
DOI : 10.1109/TPAMI.2002.1017623

T. Ojala, M. Pietikäinen, and T. Mäenpää, A Generalized Local Binary Pattern Operator for Multiresolution Gray Scale and Rotation Invariant Texture Classification, ICAPR '01: Proceedings of the Second International Conference on Advances in Pattern Recognition, pp.397-406, 2001.
DOI : 10.1007/3-540-44732-6_41

T. Ahonen, A. Hadid, and M. Pietikainen, Face Description with Local Binary Patterns: Application to Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.12, pp.2037-2041, 2006.
DOI : 10.1109/TPAMI.2006.244

M. Heikkilä, M. Pietikäinen, and C. Schmid, Description of Interest Regions with Center-Symmetric Local Binary Patterns, Computer Vision, Graphics and Image Processing 5th Indian Conference, pp.58-69, 2006.
DOI : 10.1007/11949619_6

L. Zhang, R. Chu, S. Xiang, S. Liao, and S. Li, Face detection based on multiblock lbp representation, Biometrics, 2007.

S. Ullman and E. Sali, Object Classification Using a Fragment-Based Representation, In: the First IEEE International Workshop on Biologically Motivated Computer Vision, pp.73-87, 2000.
DOI : 10.1007/3-540-45482-9_8

L. Wolf, X. Huang, I. Martin, and D. Metaxas, Patch-Based Texture Edges and Segmentation, European Conference on Computer Vision, pp.481-493, 2006.
DOI : 10.1109/34.537343

E. Shechtman and M. Irani, Matching Local Self-Similarities across Images and Videos, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383198

S. Belongie, J. Malik, and J. Puzicha, Shape context: A new descriptor for shape matching and object recognition, Advances in Neural Information Processing Systems 13, pp.831-837, 2001.

E. L. Allwein, R. E. Schapire, and Y. Singer, Reducing multiclass to binary: a unifying approach for margin classifiers, JMLR, vol.1, pp.113-141, 2001.

G. Huang, V. Jain, and E. Learned-miller, Unsupervised Joint Alignment of Complex Images, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408858

D. E. Pollard, A user's guide to measure theoretic probability, 2002.
DOI : 10.1017/CBO9780511811555

M. Riesenhuber and T. Poggio, Hierarchical models of object recognition in cortex, Nature Neuroscience, vol.2, pp.1019-1025, 1999.

E. P. Xing, A. Y. Ng, M. I. Jordan, and S. Russell, Distance metric learning with application to clustering with side-information, pp.505-512, 2003.

A. Bar-hillel, T. Hertz, N. Shental, and D. Weinshall, Learning distance functions using equivalence relations, 2003.

K. Weinberger, J. Blitzer, and L. Saul, Distance metric learning for large margin nearest neighbor classification, NIPS, vol.18, pp.1473-1480, 2006.

T. Hastie, R. Tibshirani, and J. H. Friedman, The Elements of Statistical Learning, 2001.