C. Carson, S. Belongie, H. Greenspan, and J. Malik, Blobworld: image segmentation using expectation-maximization and its application to image querying, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.8, pp.241026-1038, 2004.
DOI : 10.1109/TPAMI.2002.1023800

Y. Chen and J. Wang, Image categorization by learning and reasoning with regions, International Journal on Machine Learning Research, vol.5, pp.913-939, 2004.

P. Gosselin and M. Cord, Precision-Oriented Active Selection for Interactive Image Retrieval, 2006 International Conference on Image Processing, 2006.
DOI : 10.1109/ICIP.2006.313067

URL : https://hal.archives-ouvertes.fr/hal-00520305

K. Grauman and T. Darell, Efficient Image Matching with Distributions of Local Invariant Features, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.138

F. Jurie and B. Triggs, Creating efficient codebooks for visual recognition, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005.
DOI : 10.1109/ICCV.2005.66

URL : https://hal.archives-ouvertes.fr/inria-00548511

R. Kondor and T. Jebara, A kernel between sets of vectors, International Conference on Machine Learning (ICML), 2003.

D. 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

S. Lyu, Mercer kernels for object recognition with local features, IEEE International Conference on Computer Vision and Pattern Recognition, 2005.

K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas et al., A Comparison of Affine Region Detectors, International Journal of Computer Vision, vol.65, issue.1-2, pp.43-72, 2005.
DOI : 10.1007/s11263-005-3848-x

URL : https://hal.archives-ouvertes.fr/inria-00548528

S. Philipp-foliguet and J. Gony, FReBIR : Fuzzy regions-based image retrieval, Image Processing and Multimedia Understanding (IPMU), 2006.

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

S. Tong and D. Koller, Support vector machine active learning with application to text classification, Journal of Machine Learning Research, vol.2, pp.45-66, 2001.

V. Vapnik, Statistical Learning Theory, 1999.

C. Wallraven, B. Caputo, and A. Graf, Recognition with local features: the kernel recipe, Proceedings Ninth IEEE International Conference on Computer Vision, pp.257-264, 2003.
DOI : 10.1109/ICCV.2003.1238351