T. Blair, P. 1. George, and . Bush, Tony Blair LDML 1. null 2. Natalie Maines 3 Martie Maguire PCA 1. null 2. Natalie Maines 3. Martie Maguire 4. Emily Robison LDML 1. null 2, Contextual identity recognition in personal photo albums, p.CVPR, 2007.

A. Bar-hillel, T. Hertz, N. Shental, and D. Weinshall, Learning a Mahanalobis metric from equivalence constraints, Journal of Machine Learning Research, vol.6, pp.937-965, 2005.

K. Barnard, P. Duygulu, D. Forsyth, N. De-freitas, D. Blei et al., Matching words and pictures Multi-modal clustering for multimedia collections, Journal of Machine Learning Research, vol.3, pp.1107-1135, 2003.

T. Berg, A. Berg, J. Edwards, M. Maire, R. White et al., Names and faces in the news, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., p.CVPR, 2004.
DOI : 10.1109/CVPR.2004.1315253

T. Berg, D. Forsyth, D. Bertsekas, M. Bressan, G. Csurka et al., Animals on the web On the Goldstein-Levitin-Polyak gradient projection method, Travel blog assistant system. In: Proceedings of the International Conference on Computer Vision Theory and Applications, pp.174-184, 1976.

C. Buckley, G. Salton, J. Allan, and A. Singhal, Automatic query expansion using SMART: TREC 3 Greedy approximation algorithms for finding dense components in a graph, Proceedings of the Text Retrieval Conference Proceedings of International Workshop Approximation Algorithms for Combinatorial Optimization, pp.69-80, 1995.

S. Chopra, R. Hadsell, Y. Lecun, O. Chum, J. Philbin et al., Learning a similarity metric discriminatively , with application to face verification Total recall: Automatic query expansion with a generative feature model for object retrieval, p.ICCV, 2005.

T. Cormen, C. Leiserson, R. Rivest, C. Stein, J. Davis et al., Introduction to Algorithms , Second Edition Information-theoretic metric learning Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society. Series BMethodological), vol.39, issue.1, pp.1-38, 1977.

K. Deschacht and M. Moens, Efficient hierarchical entity classification using conditional random fields, Proceedings of Workshop on Ontology Learning and Population, 2006.

M. Everingham, J. Sivic, and A. Zisserman, Hello! My name is... Buffy'' -- Automatic Naming of Characters in TV Video, Procedings of the British Machine Vision Conference 2006, p.BMVC, 2006.
DOI : 10.5244/C.20.92

L. Fei-fei, R. Fergus, and P. Perona, One-shot learning of object categories, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.4, pp.594-611, 2006.
DOI : 10.1109/TPAMI.2006.79

A. Ferencz, E. Learned-miller, and J. Malik, Learning to Locate Informative Features for Visual Identification, International Journal of Computer Vision, vol.35, issue.4, pp.3-24, 2008.
DOI : 10.1007/s11263-007-0093-5

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.120.6306

R. Fergus, L. Fei-fei, P. Perona, A. Zisserman, A. Georghiades et al., Learning object categories from Google's image search From few to many: Illumination cone models for face recognition under variable lighting and pose, PAMI, vol.10, issue.266, pp.1816-1823, 2005.

A. Globerson and S. Roweis, Metric learning by collapsing classes, p.NIPS, 2006.

D. Grangier, F. Monay, and S. Bengio, A Discriminative Approach for the Retrieval of Images from Text Queries, Proceedings of the European Conference on Machine Learning, pp.162-173, 2006.
DOI : 10.1007/11871842_19

M. Guillaumin, T. Mensink, J. Verbeek, C. Schmid, M. Guillaumin et al., Automatic face naming with caption-based supervision Tagprop: Discriminative metric learning in nearest neighbor models for image auto-annotation, In: CVPR, p.ICCV, 2008.

M. Guillaumin, J. Verbeek, C. Schmid, M. Guillaumin, J. Verbeek et al., Is that you? Metric learning approaches for face identification Multiple instance metric learning from automatically labeled bags of faces, In: ICCV, p.ECCV, 2009.

A. Holub, P. Moreels, and P. Perona, Unsupervised clustering for google searches of celebrity images, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition, 2008.
DOI : 10.1109/AFGR.2008.4813463

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

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.464.8754

G. Huang, M. Ramesh, T. Berg, and E. Learned-miller, Labeled Faces in the Wild: a database for studying face recognition in unconstrained environments, 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, p.BMVC, 2006.
DOI : 10.5244/C.20.37

V. Jain, E. Learned-miller, A. Mccallum, B. Krishnapuram, L. Carin et al., People-LDA: Anchoring topics to people using face recognition Sparse multinomial logistic regression: Fast algorithms and generalization bounds, PAMI, vol.27, issue.6, pp.957-968, 2005.

N. Kumar, A. Berg, P. Belhumeur, and S. Nayar, Attribute and simile classifiers for face verification, 2009 IEEE 12th International Conference on Computer Vision, p.ICCV, 2009.
DOI : 10.1109/ICCV.2009.5459250

I. Laptev, M. Marsza?ek, C. Schmid, and B. Rozenfeld, Learning realistic human actions from movies, 2008 IEEE Conference on Computer Vision and Pattern Recognition, p.CVPR, 2008.
DOI : 10.1109/CVPR.2008.4587756

URL : https://hal.archives-ouvertes.fr/inria-00548659

S. Lazebnik, C. Schmid, and J. Ponce, Affine-invariant local descriptors and neighborhood statistics for texture recognition, Proceedings Ninth IEEE International Conference on Computer Vision, pp.649-655, 2003.
DOI : 10.1109/ICCV.2003.1238409

URL : https://hal.archives-ouvertes.fr/inria-00548231

L. Li, G. Wang, and L. Fei-fei, OPTIMOL: Automatic object picture collection via incremental model learning, p.CVPR, 2007.

S. Marcel, P. Abbet, M. Guillemot, T. Mensink, J. Verbeek et al., Google portrait Improving people search using query expansions: How friends help to find people Leveraging context to resolve identity in photo albums, Proceedings of the Joint Conference on Digital libraries, pp.7-07, 2005.

R. Neal and G. Hinton, A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants, Learning in Graphical Models, pp.355-368, 1998.
DOI : 10.1007/978-94-011-5014-9_12

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

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

D. Ozkan and P. Duygulu, A Graph Based Approach for Naming Faces in News Photos, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.1477-1482, 2006.
DOI : 10.1109/CVPR.2006.29

D. Ozkan and P. Duygulu, Interesting faces: A graph-based approach for finding people in news, Pattern Recognition, vol.43, issue.5, 2009.
DOI : 10.1016/j.patcog.2009.10.015

P. Pham, M. Moens, and T. Tuytelaars, Linking names and faces: Seeing the problem in different ways, Proceedings of ECCV Workshop on Faces in Real-Life Images, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00326731

N. Pinto, J. Dicarlo, D. Cox, D. Ramanan, and S. Baker, How far can you get with a modern face recognition test set using only simple features? Local distance functions: A taxonomy, new algorithms, and an evaluation, Name-it: Naming and detecting faces in news videos, pp.22-35, 1999.

J. Sivic, M. Everingham, and A. Zisserman, Who are you? " : Learning person specific classifiers from video, p.CVPR, 2009.
DOI : 10.1109/cvpr.2009.5206513

R. Srihari, PICTION: A system that uses captions to label human faces in newspaper photographs, Proceedings of the AAAI-91, pp.80-85, 1991.

Z. Stone, T. Zickler, and T. Darrell, Autotagging Facebook: Social network context improves photo annotation, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008.
DOI : 10.1109/CVPRW.2008.4562956

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.1626

Y. Taigman, L. Wolf, T. Hassner, R. Xiao, F. Wen et al., Multiple one-shots for utilizing class label information URL http A face annotation framework with partial clustering and interactive labeling, The British Machine Vision Conference, p.CVPR, 2007.

M. Turk and A. Pentland, Eigenfaces for Recognition, Journal of Cognitive Neuroscience, vol.10, issue.9, pp.71-86, 1991.
DOI : 10.1007/BF00239352

J. Verbeek and B. Triggs, Region Classification with Markov Field Aspect Models, 2007 IEEE Conference on Computer Vision and Pattern Recognition, p.CVPR, 2007.
DOI : 10.1109/CVPR.2007.383098

URL : https://hal.archives-ouvertes.fr/inria-00321129

P. Viola, M. Jones, K. Wagstaff, and S. Rogers, Robust Real-Time Face Detection, International Journal of Computer Vision, vol.57, issue.2, pp.137-154, 2001.
DOI : 10.1023/B:VISI.0000013087.49260.fb

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.102.9805

K. Weinberger, J. Blitzer, L. Saul, L. Wolf, T. Hassner et al., Distance metric learning for large margin nearest neighbor classification Descriptor based methods in the wild, Workshop on Faces Real-Life Images at ECCV, 2006.

E. Xing, A. Ng, M. Jordan, S. Russell, L. Zhang et al., Distance metric learning, with application to clustering with side-information Efficient propagation for face annotation in family albums, Proceedings of the 12th Annual ACM international Conference on Multimedia, pp.716-723, 2004.