R. Brunelli and O. Mich, Histograms analysis for image retrieval, Pattern Recognition, vol.34, issue.8, pp.1625-1637, 2001.
DOI : 10.1016/S0031-3203(00)00054-6

G. Caenen, G. Frederix, A. Kuijk, E. Pauwels, and B. Schouten, Show Me What You Mean! PARISS: A CBIR-Interface That Learns by Example, International Conference on Visual Information Systems, pp.257-258, 2000.
DOI : 10.1007/3-540-40053-2_23

E. Chang, B. T. Li, G. Wu, and K. Goh, Statistical learning for effective visual information retrieval, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2003.
DOI : 10.1109/ICIP.2003.1247318

E. Chang, B. T. Li, G. Wu, and K. Goh, Statistical learning for effective visual information retrieval, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2003.
DOI : 10.1109/ICIP.2003.1247318

O. Chapelle, P. Haffner, and V. Vapnik, Svms for histogram based image classification, IEEE Transactions on Neural Networks, vol.9, 1999.

D. Cohn, Active learning with statistical models, Journal of Artificial Intelligence Research, vol.4, pp.129-145, 1996.

M. Cord, J. Fournier, and S. Philipp-foliguet, Exploration and search-by-similarity in CBIR, 16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 2003.
DOI : 10.1109/SIBGRA.2003.1241006

I. Cox, M. Miller, T. Minka, T. Papathomas, and P. 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

J. Eakins, Towards intelligent image retrieval, Pattern Recognition, vol.35, issue.1, pp.3-14, 2002.
DOI : 10.1016/S0031-3203(01)00038-3

J. Fournier and M. Cord, Long-term similarity learning in content-based image retrieval, Proceedings. International Conference on Image Processing, 2002.
DOI : 10.1109/ICIP.2002.1038055

J. Fournier, M. Cord, and S. Philipp-foliguet, RETIN: A Content-Based Image Indexing and Retrieval System, Pattern Analysis & Applications, vol.4, issue.2-3, pp.153-173, 2001.
DOI : 10.1007/PL00014576

D. Geman and R. Moquet, A stochastic feedback model for image retrieval, RFIA'2000, pp.173-180, 2000.

P. Gosselin and M. Cord, A comparison of active classification methods for content-based image retrieval, Proceedings of the 1st international workshop on Computer vision meets databases , CVDB '04, pp.51-58, 2004.
DOI : 10.1145/1039470.1039483

URL : https://hal.archives-ouvertes.fr/hal-00520318

P. Gosselin, M. Najjar, M. Cord, and C. Ambroise, Discriminative classification vs modeling methods in CBIR, IEEE Advanced Concepts for Intelligent Vision Systems (ACIVS), 2004.
URL : https://hal.archives-ouvertes.fr/hal-00520316

T. Hastie, R. Tibshirani, and J. Friedman, The Element of Statistical Learning, 2001.

Y. Ishikawa, R. Subramanya, and C. Faloutsos, MindReader: Query databases through multiple examples, 24th VLDB Conference, pp.218-227, 1998.

T. Joachims, Transductive inference for text classification using support vector machines, Proc. 16th International Conference on Machine Learning, pp.200-209, 1999.

D. Lewis and J. Catlett, Heterogenous uncertainty sampling for supervised learning, International Confenrence on Machine Learning, 1994.

A. Mojsilovic and B. Rogowitz, Capturing image semantics with low-level descriptors, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), pp.18-21, 2001.
DOI : 10.1109/ICIP.2001.958942

N. Najjar, J. Cocquerez, and C. Ambroise, Feature selection for semi supervised learning applied to image retrieval, IEEE ICIP, 2003.

J. Park, On-line learning by active sampling using orthogonal decision support vectors, IEEE Neural Networks for Signal Processing, 2000.

G. Patanè and M. Russo, The enhanced LBG algorithm, Neural Networks, vol.14, issue.9, pp.1219-1237, 2001.
DOI : 10.1016/S0893-6080(01)00104-6

N. Roy and A. Mccallum, Toward optimal active learning through sampling estimation of error reduction, International Confenrence on Machine Learning, 2001.

Y. Rui and T. Huang, Optimizing learning in image retrieval, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), pp.236-243, 2000.
DOI : 10.1109/CVPR.2000.855825

Y. Rui, T. Huang, S. Mehrotra, and M. Ortega, A relevance feedback architecture for content-based multimedia information retrieval systems, IEEE Workshop on Content-Based Access of Image and Video Libraries, pp.92-89, 1997.

S. Santini, A. Gupta, and R. Jain, Emergent semantics through interaction in image databases, IEEE Transactions on Knowledge and Data Engineering, vol.13, issue.3, pp.337-351, 2001.
DOI : 10.1109/69.929893

C. Schmid, Weakly Supervised Learning of Visual Models and Its Application to Content-Based Retrieval, International Journal of Computer Vision, vol.56, issue.1/2, pp.7-16, 1999.
DOI : 10.1023/B:VISI.0000004829.38247.b0

URL : https://hal.archives-ouvertes.fr/inria-00548553

A. Smola and B. Scholkopf, Learning with kernels, 2002.

S. Tong, Active Learning: Theory and Applications, 2001.

S. Tong and E. Chang, Support vector machine active learning for image retrieval, Proceedings of the ninth ACM international conference on Multimedia , MULTIMEDIA '01, 2001.
DOI : 10.1145/500141.500159

L. Tran and R. Lenz, PCA-based representation of color distributions for color-based image retrieval, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), pp.697-700, 2001.
DOI : 10.1109/ICIP.2001.958589

T. Tuytelaars and L. V. , Content-Based Image Retrieval Based on Local Affinely Invariant Regions, Third Int'l Conf. on Visual Information Systems, pp.493-500, 1999.
DOI : 10.1007/3-540-48762-X_61

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.31.3277

V. Vapnik, Statistical Learning Theory, 1998.

N. Vasconcelos, Bayesian models for visual information retrieval, 2000.

N. Vasconcelos and M. Kunt, Content-based retrieval from image databases: current solutions and future directions, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), pp.6-9, 2001.
DOI : 10.1109/ICIP.2001.958037

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.127.3619

R. Veltkamp, A Survey of Content-Based Image Retrieval Systems, 2002.
DOI : 10.1007/978-1-4615-0987-5_5

L. Wang, Image retrieval with svm active learning embedding euclidian search, IEEE International Conference on Image Processing, 2003.
DOI : 10.1109/icip.2003.1247064

URL : http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1789&context=eispapers

X. Zhu, J. Lafferty, and Z. Ghahramani, Combining active learning and semi-supervised learning using gaussian fields and harmonic functions, ICML 2003 workshop on The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining, 2003.