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, Tech. Rep, 2007.

. A. Ma, A. P. Turk, and . Pentland, Face recognition using eigenfaces, Proc. CVPR. IEEE, pp.586-591, 1991.

T. Ahonen, A. Hadid, and M. Pietikäinen, Face Recognition with Local Binary Patterns, Proc. ECCV, pp.469-481, 2004.
DOI : 10.1007/978-3-540-24670-1_36

Y. Ke and R. Sukthankar, Pca-sift: A more distinctive representation for local image descriptors, Proc. CVPR. IEEE, p.506, 2004.

J. G. Daugman, Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.36, issue.7, pp.1169-1179, 1988.
DOI : 10.1109/29.1644

L. Wolf, T. Hassner, and Y. Taigman, Descriptor based methods in the wild, Workshop on Faces in'Real-Life'Images: Detection, Alignment, and Recognition, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00326729

S. U. Hussain, T. Napoléon, and F. Jurie, Face Recognition using Local Quantized Patterns, Procedings of the British Machine Vision Conference 2012, 2012.
DOI : 10.5244/C.26.99

URL : https://hal.archives-ouvertes.fr/hal-00806104

K. Simonyan, O. M. Parkhi, A. Vedaldi, and A. Zisserman, Fisher Vector Faces in the Wild, Procedings of the British Machine Vision Conference 2013, p.7, 2013.
DOI : 10.5244/C.27.8

O. Barkan, J. Weill, L. Wolf, and H. Aronowitz, Fast High Dimensional Vector Multiplication Face Recognition, 2013 IEEE International Conference on Computer Vision, 2013.
DOI : 10.1109/ICCV.2013.246

D. Chen, X. Cao, F. Wen, and J. Sun, Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.3025-3032, 2013.
DOI : 10.1109/CVPR.2013.389

E. P. Xing, A. Y. Ng, M. I. Jordan, and S. Russell, Distance metric learning with application to clustering with side-information Advances in neural information processing systems, pp.521-528, 2003.

K. Weinberger, J. Blitzer, and L. Saul, Distance metric learning for large margin nearest neighbor classification Advances in neural information processing systems, p.1473, 2006.

J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon, Informationtheoretic metric learning, Proc. ICML. ACM, pp.209-216, 2007.

N. V. Hieu, B. Li, and L. Shen, Local gabor binary pattern whitened pca: A novel approach for face recognition from single image per person, Advances in Biometrics, pp.269-278, 2009.

N. V. Hieu and B. Li, Cosine similarity metric learning for face verification, Proc. ACCV. 2011, pp.709-720

T. Berg and P. N. Belhumeur, Tom-vs-pete classifiers and identitypreserving alignment for face verification, Proc. BMVC, 2012, p.5
DOI : 10.5244/c.26.129

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.278.5177

P. Li, Y. Fu, U. Mohammed, J. H. Elder, and S. Prince, Probabilistic models for inference about identity Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.34, issue.1, pp.144-157, 2012.

Q. Cao, Y. Ying, and P. Li, Similarity Metric Learning for Face Recognition, 2013 IEEE International Conference on Computer Vision, 2013.
DOI : 10.1109/ICCV.2013.299

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

L. Zhang, R. Chu, S. Xiang, S. Liao, and S. Z. Li, Face Detection Based on Multi-Block LBP Representation, Advances in biometrics, pp.11-18, 2007.
DOI : 10.1007/978-3-540-74549-5_2

A. Bellet, A. Habrard, and M. Sebban, A survey on metric learning for feature vectors and structured data, Computing Research Repository, vol.6709, 1306.

A. M. Qamar, E. Gaussier, J. P. Chevallet, and J. H. Lim, Similarity Learning for Nearest Neighbor Classification, 2008 Eighth IEEE International Conference on Data Mining, pp.983-988, 2008.
DOI : 10.1109/ICDM.2008.81

URL : https://hal.archives-ouvertes.fr/hal-00953867

G. Chechik, V. Sharma, U. Shalit, and S. Bengio, Large Scale Online Learning of Image Similarity through Ranking, The Journal of Machine Learning Research, vol.11, pp.1109-1135, 2010.
DOI : 10.1007/978-3-642-02172-5_2

D. C. Liu and J. Nocedal, On the limited memory BFGS method for large scale optimization, Mathematical programming, pp.503-528, 1989.
DOI : 10.1007/BF01589116

N. V. Hieu, Linear subspace methods in face recognition, 2011.

Y. Taigman, L. Wolf, and T. Hassner, Multiple One-Shots for Utilizing Class Label Information, Procedings of the British Machine Vision Conference 2009, pp.1-12, 2009.
DOI : 10.5244/C.23.77

M. Guillaumin, J. Verbeek, and C. Schmid, Is that you? Metric learning approaches for face identification, 2009 IEEE 12th International Conference on Computer Vision, pp.498-505, 2009.
DOI : 10.1109/ICCV.2009.5459197

URL : https://hal.archives-ouvertes.fr/inria-00439290

W. Deng, J. Hu, and J. Guo, Gabor-Eigen-Whiten-Cosine: A Robust Scheme for Face Recognition, Analysis and Modelling of Faces and Gestures, pp.336-349, 2005.
DOI : 10.1007/11564386_26

A. O. Hatch and A. Stolcke, Generalized linear kernels for oneversus-all classification: application to speaker recognition, Proc. ICASSP. IEEE, 2006.

Y. Ying and P. Li, Distance metric learning with eigenvalue optimization, The Journal of Machine Learning Research, vol.13, issue.1, pp.1-26, 2012.

J. Hu, J. Lu, and Y. Tan, Discriminative Deep Metric Learning for Face Verification in the Wild, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.1875-1882, 2014.
DOI : 10.1109/CVPR.2014.242

C. Chang and C. Lin, LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, pp.1-27, 2011.
DOI : 10.1145/1961189.1961199

D. Yi, Z. Lei, and S. Z. Li, Towards Pose Robust Face Recognition, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.3539-3545, 2013.
DOI : 10.1109/CVPR.2013.454

J. Hu, J. Lu, J. Yuan, and Y. Tan, Large margin multimetric learning for face and kinship verification in the wild, Proc. ACCV, 2014.

S. Chopra, R. Hadsell, and Y. Lecun, Learning a Similarity Metric Discriminatively, with Application to Face Verification, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.539-546, 2005.
DOI : 10.1109/CVPR.2005.202

]. T. Ojala, M. Pietikainen, and T. Maenpaa, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.24, issue.7, pp.971-987, 2002.