Y. Amit, M. Fink, N. Srebro, and S. Ullman, Uncovering shared structures in multiclass classification, Proceedings of the 24th international conference on Machine learning, ICML '07, p.3, 2007.
DOI : 10.1145/1273496.1273499

S. Bengio, J. Weston, and D. Grangier, Label embedding trees for large multi-class tasks, NIPS, p.3, 2010.

S. Branson, C. Wah, B. Babenko, F. Schroff, P. Welinder et al., Visual Recognition with Humans in the Loop, ECCV, 2010.
DOI : 10.1007/978-3-642-15561-1_32

K. Chatfield, V. Lempitsky, A. Vedaldi, and A. Zisserman, The devil is in the details: an evaluation of recent feature encoding methods, Procedings of the British Machine Vision Conference 2011, 2005.
DOI : 10.5244/C.25.76

S. Clinchant, G. Csurka, F. Perronnin, and J. Renders, XRCEs participation to ImageEval, ImageEval Workshop at CVIR, 2007.

T. Deselaers and V. Ferrari, Visual and semantic similarity in ImageNet, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995474

M. Douze, A. Ramisa, and C. Schmid, Combining attributes and Fisher vectors for efficient image retrieval, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995595

URL : https://hal.archives-ouvertes.fr/inria-00566293

A. Farhadi, I. Endres, D. Hoiem, and D. Forsyth, Describing objects by their attributes, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009.
DOI : 10.1109/CVPR.2009.5206772

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

V. Ferrari and A. Zisserman, Learning visual attributes, NIPS, 2007.

B. Geng, L. Yang, C. Xu, and X. Hua, Ranking model adaptation for domain-specific search, IEEE TKDE, issue.4

T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning Springer Series in Statistics, 2008.

D. Hsu, S. Kakade, J. Langford, and T. Zhang, Multi-label prediction via compressed sensing, NIPS, 2009.

H. Jégou, M. Douze, and C. Schmid, Product Quantization for Nearest Neighbor Search, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.1, 2005.
DOI : 10.1109/TPAMI.2010.57

G. Kulkarni, V. Premraj, S. Dhar, S. Li, Y. Choi et al., Baby talk: Understanding and generating simple image descriptions, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995466

N. Kumar, P. Belhummeur, and S. Nayar, FaceTracer: A Search Engine for Large Collections of Images with Faces, ECCV, 2008.
DOI : 10.1007/978-3-540-88693-8_25

C. 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, 2006.
DOI : 10.1109/CVPR.2009.5206594

H. Larochelle, D. Erhan, and Y. Bengio, Zero-data learning of new tasks, AAAI, 2008.

D. G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

D. Mahajan, S. Sellamanickam, and V. Nair, A joint learning framework for attribute models and object descriptions, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126373

S. Maji and A. Berg, Max-margin additive classifiers for detection, 2009 IEEE 12th International Conference on Computer Vision, 2009.
DOI : 10.1109/ICCV.2009.5459203

T. Mensink, J. Verbeek, and G. Csurka, Tree-Structured CRF Models for Interactive Image Labeling, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.2
DOI : 10.1109/TPAMI.2012.100

URL : https://hal.archives-ouvertes.fr/hal-00688143

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

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

V. Ordonez, G. Kulkarni, and T. Berg, Im2Text: Describing images using 1 million captioned photographs, NIPS, 2011.

D. Osherson, J. Stern, O. Wilkie, M. Stob, and E. Smith, Default Probability, Cognitive Science, vol.84, issue.2, 1991.
DOI : 10.1207/s15516709cog1502_3

M. Palatucci, D. Pomerleau, G. Hinton, and T. Mitchell, Zero-shot learning with semantic output codes, NIPS, 2005.

F. Perronnin, J. Sánchez, and T. Mensink, Improving the Fisher Kernel for Large-Scale Image Classification, ECCV, p.5, 2010.
DOI : 10.1007/978-3-642-15561-1_11

URL : https://hal.archives-ouvertes.fr/inria-00548630

M. Rohrbach, M. Stark, and B. Schiele, Evaluating knowledge transfer and zero-shot learning in a large-scale setting, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995627

M. Rohrbach, M. Stark, G. Szarvas, I. Gurevych, and B. Schiele, What hepls here ? and why? Semantic relatedness for knowledge transfer, CVPR, 2010.

M. Saerens, F. Fouss, L. Yen, and P. Dupont, The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering, ECML, 2004.
DOI : 10.1007/978-3-540-30115-8_35

J. Sánchez and F. Perronnin, High-dimensional signature compression for large-scale image classification, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995504

V. Sharmanska, N. Quadrianto, and C. H. Lampert, Augmented Attribute Representations, ECCV, 2012.
DOI : 10.1007/978-3-642-33715-4_18

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

J. Shawe-taylor and N. Cristianini, Kernel Methods for Pattern Analysis, 2004.
DOI : 10.1017/CBO9780511809682

B. Siddiquie, R. Feris, and L. Davis, Image ranking and retrieval based on multi-attribute queries, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995329

I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun, Large margin methods for structured and interdependent output variables, JMLR, vol.3, p.4, 2005.

A. Vedaldi and A. Zisserman, Efficient additive kernels via explicit feature maps, CVPR, 2010.

A. Vedaldi and A. Zisserman, Sparse kernel approximations for efficient classification and detection, 2012 IEEE Conference on Computer Vision and Pattern Recognition
DOI : 10.1109/CVPR.2012.6247943

C. Wah, S. Branson, P. Perona, and S. Belongie, Multiclass recognition and part localization with humans in the loop, 2011 International Conference on Computer Vision, 2006.
DOI : 10.1109/ICCV.2011.6126539

G. Wang and D. Forsyth, Joint learning of visual attributes, object classes and visual saliency, 2009 IEEE 12th International Conference on Computer Vision, 2009.
DOI : 10.1109/ICCV.2009.5459194

Y. Wang and G. Mori, A Discriminative Latent Model of Object Classes and Attributes, ECCV, 2010.
DOI : 10.1007/978-3-642-15555-0_12

K. Weinberger and O. Chapelle, Large margin taxonomy embedding for document categorization, NIPS, p.3, 2008.

J. Weston, S. Bengio, and N. Usunier, Large scale image annotation: learning??to??rank with??joint word-image embeddings, Machine Learning, vol.5, issue.1, 2007.
DOI : 10.1007/s10994-010-5198-3

J. Weston, O. Chapelle, A. Elisseeff, B. Schölkopf, and V. Vapnik, Kernel dependency estimation, NIPS, 2002.

X. Yu and Y. Aloimonos, Attribute-Based Transfer Learning for Object Categorization with Zero/One Training Example, ECCV, 2010.
DOI : 10.1007/978-3-642-15555-0_10