G. Caenen and E. J. Pauwels, <title>Logistic regression model for relevance feedback in content-based image retrieval</title>, Storage and Retrieval for Media Databases 2002, pp.49-58, 2001.
DOI : 10.1117/12.451115

G. Carneiro, A. B. Chan, P. J. Moreno, and N. Vasconcelos, Supervised Learning of Semantic Classes for Image Annotation and Retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.3, pp.394-410, 2006.
DOI : 10.1109/TPAMI.2007.61

A. Chalechale, G. Naghdy, and A. Mertins, Sketch-Based Image Matching Using Angular Partitioning, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol.35, issue.1, pp.28-41, 2005.
DOI : 10.1109/TSMCA.2004.838464
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.1141

I. J. Cox, M. L. Miller, T. P. Minka, T. Papathomas, and P. N. Yianilos, The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments, IEEE Transactions on Image Processing, vol.9, issue.1, pp.20-37, 2000.
DOI : 10.1109/83.817596

R. Datta, D. Joshi, J. Li, and J. Wang, Image retrieval, ACM Computing Surveys, vol.40, issue.2, pp.1-60, 2008.
DOI : 10.1145/1348246.1348248

A. Bimbo and P. Pala, Visual image retrieval by elastic matching of user sketches, IEEE Trans. Pattern Anal. Mach. Intell, vol.9, issue.2, pp.121-132, 1997.

Y. Fang and D. Geman, Experiments in Mental Face Retrieval, Proc. of Audioand Video-based Biometric Person Authentication, pp.637-646, 2005.
DOI : 10.1007/11527923_66

J. Fauqueur and N. Boujemaa, Mental image search by boolean composition of region categories, Multimedia Tools and Applications, pp.95-117, 2006.
DOI : 10.1007/s11042-006-0033-3

M. Ferecatu, Image retrieval with active relevance feedback using both visual and keyword-based descriptors INRIA?University of Versailles Saint Quentin-en, 2005.

M. Ferecatu and D. Geman, Interactive Search for Image Categories by Mental Matching, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4409072

M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang et al., Query by image ans video content: the QBIC system, IEEE Computer, 1995.

H. Frigui and R. Krishnapuram, A robust competitive clustering algorithm with applications in computer vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.5, pp.450-465, 1999.
DOI : 10.1109/34.765656

T. Gevers and A. W. Smeulders, Content-based image retrieval: An overview, Emerging Topics in Computer Vision, 2004.

L. J. Heyer, S. Kruglyak, and S. Yooseph, Exploring Expression Data: Identification and Analysis of Coexpressed Genes, Genome Research, vol.9, issue.11, pp.1106-1115, 1999.
DOI : 10.1101/gr.9.11.1106

I. T. Jolliffe, Principal Component Analysis, 2002.
DOI : 10.1007/978-1-4757-1904-8

B. Ko and H. Byun, Integrated region-based image retrieval using region's spatial relationships, Proceedings of the IEEE International Conference on Pattern Recognition (ICPR02), 2002.

M. Lew, N. Sebe, C. Djeraba, and R. Jain, Content-based multimedia information retrieval, ACM Transactions on Multimedia Computing, Communication, and Applications, pp.1-19, 2006.
DOI : 10.1145/1126004.1126005

J. Li and J. Z. Wang, Real-time computerized annotation of pictures, Proceedings of the 14th annual ACM international conference on Multimedia , MULTIMEDIA '06, pp.911-920, 2006.
DOI : 10.1145/1180639.1180841

B. S. Manjunath, P. Salembier, and T. Sikora, Introduction to MPEG-7: Multimedia Content Description Interface, 2002.

K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.10, pp.1615-1630, 2005.
DOI : 10.1109/TPAMI.2005.188
URL : https://hal.archives-ouvertes.fr/inria-00548227

B. , L. Saux, and N. Boujemaa, Image database clustering with SVM-based class personalization, SPIE Conference on Storage and Retrieval Methods and Applications for Multimedia, part of Electronic Imaging symposium, 2004.

B. Schölkopf and A. Smola, Learning with Kernels, 2002.

A. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, Content-based image retrieval at the end of the early years, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.12, pp.1349-1380, 2000.
DOI : 10.1109/34.895972

Z. Su, H. Zhang, S. Li, and S. Andma, Relevance feedback in content-based image retrieval: Bayesian framework, feature subspaces, and progressive learning, IEEE Trans. Image Process, vol.12, issue.8, pp.924-937, 2003.

N. Vasconcelos and A. Lippman, Learning from user feedback in image retrieval systems, Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS), 2000.

N. Vasconcelos and A. Lippman, A probabilistic architecture for content-based image retrieval, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2000.
DOI : 10.1109/CVPR.2000.855822

C. Vertan and N. Boujemaa, Upgrading Color Distributions for Image Retrieval Can We Do Better?, International Conference on Visual Information Systems (Visual2000), 2000.
DOI : 10.1007/3-540-40053-2_16

S. Xiang, T. S. Zhou, and . Huang, Relevance feedback for image retrieval: a comprehensive review, Multimedia Systems, vol.8, issue.6, pp.536-544, 2003.