C. Shyu, C. Pavlopoulou, A. Kak, and C. Brodley, Using Human Perceptual Categories for Content-Based Retrieval from a Medical Image Database, Computer Vision and Image Understanding, vol.88, issue.3, pp.119-151, 2002.
DOI : 10.1006/cviu.2002.0972

H. Muller, N. Michoux, D. Bandon, and A. Geissbuhler, A review of content-based image retrieval systems in medical applications???clinical benefits and future directions, International Journal of Medical Informatics, vol.73, issue.1, pp.1-23, 2004.
DOI : 10.1016/j.ijmedinf.2003.11.024

J. Dy, C. Brodley, A. Kak, L. Broderick, and A. Aisen, Unsupervised feature selection applied to content-based retrieval of lung images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.3, pp.373-378, 2003.
DOI : 10.1109/TPAMI.2003.1182100

Y. Liu, Semantic based biomedical image indexing and retrieval, Trends and Advances in Content-Based Image and Video Retrieval, 2004.

T. Lehmann, Content-based image retrieval in medical applications, Methods Inf Med, vol.43, pp.354-361, 2004.

I. Armato and S. , Lung Image Database Consortium: Developing a Resource for the Medical Imaging Research Community, Radiology, vol.232, issue.3, pp.739-748, 2004.
DOI : 10.1148/radiol.2323032035

B. Wood, Visual Expertise, Radiology, vol.211, issue.1, pp.1-3, 1999.
DOI : 10.1148/radiology.211.1.r99ap431

V. Vapnik, Statistical Learning Theory, 1998.

J. Lim, J. Jin, and S. Luo, A Structured Learning Approach to Semantic Photo Indexing and Query, Proc. of AIRS 2005, 2005.
DOI : 10.1007/11562382_27

J. Lim, Building Visual Vocabulary for Image Indexation and Query Formulation, Pattern Analysis & Applications, vol.4, issue.2-3, pp.125-139, 2001.
DOI : 10.1007/PL00014574

J. Lim and J. Jin, A structured learning framework for content-based image indexing and visual query, Multimedia Systems, vol.20, issue.4, 2005.
DOI : 10.1007/s00530-004-0158-z

C. Bishop, Neural Networks for Pattern Recognition, 1995.

B. Manjunath and W. Ma, Texture features for browsing and retrieval of image data, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, issue.8, pp.837-842, 1996.
DOI : 10.1109/34.531803

Y. Rui, T. Huang, and S. Mehrotra, Content-based image retrieval with relevance feedback in MARS, Proceedings of International Conference on Image Processing, pp.815-818, 1997.
DOI : 10.1109/ICIP.1997.638621

K. Sung and T. Poggio, Example-based learning for view-based human face detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.1, pp.39-51, 1998.
DOI : 10.1109/34.655648

P. Papageorgiou, M. Oren, and T. Poggio, A general framework for object detection, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), pp.555-562, 1998.
DOI : 10.1109/ICCV.1998.710772

P. Clough, M. Sanderson, and H. Muller, The clef cross language image retrieval track (imageclef), 2004.

T. Joachims, Making large-scale svm learning practical Advances in Kernel Methods -Support Vector Learning, pp.169-184, 1999.

J. Lim and J. Jin, Combining intra-image and inter-class semantics for consumer image retrieval, Pattern Recognition, vol.38, issue.6, pp.847-864, 2005.
DOI : 10.1016/j.patcog.2004.11.002

J. Lim and J. Jin, Discovering Recurrent Image Semantics from Class Discrimination, EURASIP Journal on Advances in Signal Processing, vol.7, issue.1, 2005.
DOI : 10.1155/ASP/2006/76093