E. Adar, J. Teevan, and S. Dumais, Resonance on the web, Proceedings of the 27th international conference on Human factors in computing systems, CHI 09, 2009.
DOI : 10.1145/1518701.1518909

E. Adar, J. Teevan, S. Dumais, and J. Elsas, The web changes everything, Proceedings of the Second ACM International Conference on Web Search and Data Mining, WSDM '09, 2009.
DOI : 10.1145/1498759.1498837

S. Agarwal, J. Wills, L. Cayton, G. Lanckriet, D. J. Kriegman et al., Generalized non-metric multidimensional scaling, International Conference on Artificial Intelligence and Statistics (AISTATS, pp.11-18, 2007.

S. Avila, N. Thome, M. Cord, E. Valle, and A. D. Araújo, Pooling in image representation: The visual codeword point of view, Computer Vision and Image Understanding, vol.117, issue.5, pp.453-465, 2013.
DOI : 10.1016/j.cviu.2012.09.007

URL : https://hal.archives-ouvertes.fr/hal-01172709

B. Saad, M. Gançarski, and S. , Archiving the web using page changes patterns: a case study, Joint Conference on Digital Library (JCDL), 2011.
DOI : 10.1007/s00799-012-0094-z

I. Borg and P. Groenen, Modern Multidimensional Scaling: Theory and Applications, Journal of Educational Measurement, vol.40, issue.3, 2005.
DOI : 10.1007/BF02289341

S. P. Vandenberghe and L. , Convex optimization, 2004.

D. Cai, S. Yu, J. Wen, and W. Ma, Vips: a vision-based page segmentation algorithm, 2003.

O. Chapelle, Training a Support Vector Machine in the Primal, Neural Computation, vol.6, issue.5, pp.1155-1178, 2007.
DOI : 10.1198/106186005X25619

O. Chapelle and S. S. Keerthi, Efficient algorithms for ranking with SVMs, Information Retrieval, vol.6, issue.6, pp.201-215, 2010.
DOI : 10.1007/s10791-009-9109-9

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

J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon, Informationtheoretic metric learning, International Conference on Machine Learning (ICML), 2007.

J. Deng, W. Dong, R. Socher, L. J. Li, K. Li et al., Imagenet: A large-scale hierarchical image database, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.

M. Douze, H. Jégou, H. Sandhawalia, L. Amsaleg, and C. Schmid, Evaluation of GIST descriptors for web-scale image search, Proceeding of the ACM International Conference on Image and Video Retrieval, CIVR '09, 2009.
DOI : 10.1145/1646396.1646421

URL : https://hal.archives-ouvertes.fr/inria-00394212

T. Finley and T. Joachims, Supervised clustering with support vector machines, Proceedings of the 22nd international conference on Machine learning , ICML '05, pp.217-224, 2005.
DOI : 10.1145/1102351.1102379

T. Finley and T. Joachims, Supervised k-means clustering, Cornell Computing and Information Science Technical Report, 2008.

A. Frome, Y. Singer, and J. Malik, Image retrieval and classification using local distance functions, Advances in Neural Information Processing Systems (NIPS), 2006.

A. Frome, Y. Singer, F. Sha, and J. Malik, Learning globallyconsistent local distance functions for shape-based image retrieval and classification, IEEE International Conference on Computer Vision (ICCV), 2007.

H. Goh, N. Thome, M. Cord, and J. Lim, Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines, European Conference on Computer Vision (ECCV), 2012.
DOI : 10.1007/978-3-642-33715-4_22

URL : https://hal.archives-ouvertes.fr/hal-00816428

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

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

T. D. Hocking, G. Schleiermacher, I. Janoueix-lerosey, V. Boeva, J. Cappo et al., Learning smoothing models of copy number profiles using breakpoint annotations, BMC Bioinformatics, vol.14, issue.1, p.164, 2013.
DOI : 10.1186/gb-2004-5-10-r80

URL : https://hal.archives-ouvertes.fr/hal-00663790

S. J. Hwang, K. Grauman, and F. Sha, Learning a tree of metrics with disjoint visual features, Advances in Neural Information Processing Systems (NIPS), 2011.

S. J. Hwang, K. Grauman, and F. Sha, Analogy-preserving semantic embedding for visual object categorization, International Conference on Machine Learning (ICML), 2013.

P. Jain, B. Kulis, and K. Grauman, Fast image search for learned metrics, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587841

T. Joachims, Optimizing search engines using clickthrough data, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '02, pp.133-142, 2002.
DOI : 10.1145/775047.775067

T. Joachims, A support vector method for multivariate performance measures, Proceedings of the 22nd international conference on Machine learning , ICML '05, pp.377-384, 2005.
DOI : 10.1145/1102351.1102399

T. Joachims, Training linear SVMs in linear time, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '06, pp.217-226, 2006.
DOI : 10.1145/1150402.1150429

T. Joachims, T. Finley, and C. N. Yu, Cutting-plane training of structural SVMs, Machine Learning, vol.6, issue.2, pp.27-59, 2009.
DOI : 10.1007/s10994-009-5108-8

S. S. Keerthi and D. Decoste, A modified finite newton method for fast solution of large scale linear svms, Journal of Machine Learning Research, vol.6, issue.1, p.341, 2005.

M. G. Kendall and J. D. Gibbons, Rank Correlation Methods., Biometrika, vol.44, issue.1/2, 1990.
DOI : 10.2307/2333282

J. B. Kruskal, Nonmetric multidimensional scaling: A numerical method, Psychometrika, vol.60, issue.2, pp.115-129, 1964.
DOI : 10.1007/BF02289694

B. Kulis, Metric Learning: A Survey, Foundations and Trends?? in Machine Learning, vol.5, issue.4, pp.287-364, 2012.
DOI : 10.1561/2200000019

M. Kumar, P. Torr, and A. Zisserman, An Invariant Large Margin Nearest Neighbour Classifier, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4409041

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

R. Lajugie, F. Bach, and S. Arlot, Large-margin metric learning for constrained partitioning problems, International Conference on Machine Learning (ICML), pp.297-305, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00796921

C. H. Lampert, H. Nickisch, and S. Harmeling, Learning to detect unseen object classes by between-class attribute transfer, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009.
DOI : 10.1109/CVPR.2009.5206594

M. T. Law, S. Gutierrez, C. Thome, N. Gançarski, S. Cord et al., Structural and visual similarity learning for Web page archiving, 2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI), 2012.
DOI : 10.1109/CBMI.2012.6269849

URL : https://hal.archives-ouvertes.fr/hal-01271765

M. T. Law, N. Thome, and M. Cord, Quadruplet-Wise Image Similarity Learning, 2013 IEEE International Conference on Computer Vision, pp.249-256, 2013.
DOI : 10.1109/ICCV.2013.38

URL : https://hal.archives-ouvertes.fr/hal-01094069

M. T. Law, N. Thome, S. Gançarski, and M. Cord, Structural and visual comparisons for web page archiving, Proceedings of the 2012 ACM symposium on Document engineering, DocEng '12, 2012.
DOI : 10.1145/2361354.2361380

URL : https://hal.archives-ouvertes.fr/hal-01272800

P. Luo, J. Fan, S. Liu, F. Lin, Y. Xiong et al., Web article extraction for web printing, Proceedings of the 9th ACM symposium on Document engineering, DocEng '09, 2009.
DOI : 10.1145/1600193.1600208

B. Mcfee and G. Lanckriet, Partial order embedding with multiple kernels, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, pp.721-728, 2009.
DOI : 10.1145/1553374.1553467

B. Mcfee and G. Lanckriet, Metric learning to rank, International Conference on Machine Learning (ICML), 2010.

T. Mensink, J. Verbeek, F. Perronnin, and G. Csurka, Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost, European Conference on Computer Vision (ECCV), 2012.
DOI : 10.1007/978-3-642-33709-3_35

URL : https://hal.archives-ouvertes.fr/hal-00722313

A. Mignon and F. Jurie, PCCA: A new approach for distance learning from sparse pairwise constraints, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012.
DOI : 10.1109/CVPR.2012.6247987

URL : https://hal.archives-ouvertes.fr/hal-00806007

A. Oliva and A. Torralba, Modeling the shape of the scene: A holistic representation of the spatial envelope, International Journal of Computer Vision, vol.42, issue.3, pp.145-175, 2001.
DOI : 10.1023/A:1011139631724

D. Parikh and K. Grauman, Relative attributes, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126281

A. Parkash and D. Parikh, Attributes for Classifier Feedback, European Conference on Computer Vision (ECCV), 2012.
DOI : 10.1007/978-3-642-33712-3_26

T. Serre, L. Wolf, S. Bileschi, M. Riesenhuber, and T. Poggio, Robust Object Recognition with Cortex-Like Mechanisms, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.3, pp.411-426, 2007.
DOI : 10.1109/TPAMI.2007.56

B. Shaw, B. C. Huang, and T. Jebara, Learning a distance metric from a network, Advances in Neural Information Processing Systems (NIPS), pp.1899-1907, 2011.

R. N. Shepard, The analysis of proximities: Multidimensional scaling with an unknown distance function. I., Psychometrika, vol.65, issue.2, pp.125-140, 1962.
DOI : 10.1007/BF02289630

R. N. Shepard, The analysis of proximities: Multidimensional scaling with an unknown distance function. II, Psychometrika, vol.17, issue.3, pp.219-246, 1962.
DOI : 10.1007/BF02289621

J. Sivic and A. Zisserman, Video Google: a text retrieval approach to object matching in videos, Proceedings Ninth IEEE International Conference on Computer Vision, 2003.
DOI : 10.1109/ICCV.2003.1238663

R. Song, H. Liu, J. Wen, and W. Ma, Learning block importance models for web pages, Proceedings of the 13th conference on World Wide Web , WWW '04, 2004.
DOI : 10.1145/988672.988700

A. Spengler and P. Gallinari, Document structure meets page layout, Proceedings of the 10th ACM symposium on Document engineering, DocEng '10, 2010.
DOI : 10.1145/1860559.1860590

URL : https://hal.archives-ouvertes.fr/hal-00637719

J. Tenenbaum, D. Silva, V. Langford, and J. , A Global Geometric Framework for Nonlinear Dimensionality Reduction, Science, vol.290, issue.5500, pp.2319-2323, 2000.
DOI : 10.1126/science.290.5500.2319

C. Theriault, N. Thome, and M. Cord, Extended Coding and Pooling in the HMAX Model, IEEE Transactions on Image Processing, vol.22, issue.2, pp.764-777, 2013.
DOI : 10.1109/TIP.2012.2222900

URL : https://hal.archives-ouvertes.fr/hal-01185467

L. Torresani and K. Lee, Large margin component analysis, Advances in Neural Information Processing Systems (NIPS), 2007.

N. Verma, D. Mahajan, S. Sellamanickam, and V. Nair, Learning hierarchical similarity metrics, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012.
DOI : 10.1109/CVPR.2012.6247938

K. Weinberger and O. Chapelle, Large margin taxonomy embedding with an application to document categorization, Advances in Neural Information Processing Systems (NIPS), pp.1737-1744, 2008.

K. Weinberger and L. Saul, Distance metric learning for large margin nearest neighbor classification, The Journal of Machine Learning Research (JMLR), vol.10, pp.207-244, 2009.

E. Xing, A. Ng, M. Jordan, and S. Russell, Distance metric learning, with application to clustering with side-information, Advances in Neural Information Processing Systems (NIPS), 2002.

J. Yang, K. Yu, Y. Gong, and T. Huang, Linear spatial pyramid matching using sparse coding for image classification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.