S. Boughorbel, J. Tarel, and N. Boujemaa, Generalized histogram intersection kernel for image recognition, IEEE International Conference on Image Processing 2005, p.878, 2005.
DOI : 10.1109/ICIP.2005.1530353

M. S. Charikar, Similarity estimation techniques from rounding algorithms, Proceedings of the thiry-fourth annual ACM symposium on Theory of computing , STOC '02, pp.380-388, 2002.
DOI : 10.1145/509907.509965

O. Chum, J. Philbin, and A. Zisserman, Near Duplicate Image Detection: min-Hash and tf-idf Weighting, Procedings of the British Machine Vision Conference 2008, p.873, 2008.
DOI : 10.5244/C.22.50

M. Datar, N. Immorlica, P. Indyk, and V. S. Mirrokni, Locality-sensitive hashing scheme based on p-stable distributions, Proceedings of the twentieth annual symposium on Computational geometry , SCG '04, pp.253-262, 2004.
DOI : 10.1145/997817.997857

M. Ferecatu, Image retrieval with active relevance feedback using both visual and keyword-based descriptors, p.877, 2005.

A. Gionis, P. Indyk, and R. Motwani, Similarity search in high dimensions via hashing, Int. Conf. on Very Large Data Bases, pp.518-529, 1999.

H. Jégou, M. Douze, and C. Schmid, Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search, European Conf. on Computer Vision, volume I of LNCS, pp.304-317, 2008.
DOI : 10.1007/978-3-540-88682-2_24

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, p.874, 2010.
DOI : 10.1109/TPAMI.2010.57

A. Joly and O. Buisson, A posteriori multi-probe locality sensitive hashing, Proceeding of the 16th ACM international conference on Multimedia, MM '08, pp.209-218, 2008.
DOI : 10.1145/1459359.1459388

A. Joly, C. Frélicot, and O. Buisson, Feature statistical retrieval applied to content-based copy identification, 2004 International Conference on Image Processing, 2004. ICIP '04., p.873, 2004.
DOI : 10.1109/ICIP.2004.1418846

B. Kulis and K. Grauman, Kernelized locality-sensitive hashing for scalable image search, 2009 IEEE 12th International Conference on Computer Vision, p.878, 2009.
DOI : 10.1109/ICCV.2009.5459466

R. Lin, D. Ross, and J. Yagnik, SPEC hashing: Similarity preserving algorithm for entropy-based coding, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.848-854, 2010.
DOI : 10.1109/CVPR.2010.5540129

D. G. Lowe, Object recognition from local scale-invariant features, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.1150-1157, 1999.
DOI : 10.1109/ICCV.1999.790410

Y. Mu, J. Shen, and S. Yan, Weakly-supervised hashing in kernel space, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.3344-3351, 2010.
DOI : 10.1109/CVPR.2010.5540024

L. Paulevé, H. Jégou, and L. Amsaleg, Locality sensitive hashing: A comparison of hash function types and querying mechanisms, Pattern Recognition Letters, vol.31, issue.11, pp.311348-1358, 2010.
DOI : 10.1016/j.patrec.2010.04.004

S. Poullot, O. Buisson, and M. Crucianu, Z-grid-based probabilistic retrieval for scaling up content-based copy detection, Proceedings of the 6th ACM international conference on Image and video retrieval, CIVR '07, pp.348-355, 2007.
DOI : 10.1145/1282280.1282334

URL : https://hal.archives-ouvertes.fr/hal-01125285

M. Raginsky and S. Lazebnik, Locality-sensitive binary codes from shift-invariant kernels, NIPS, p.877, 2009.

R. Salakhutdinov, A. Mnih, and G. Hinton, Restricted Boltzmann machines for collaborative filtering, Proceedings of the 24th international conference on Machine learning, ICML '07, pp.791-798, 2007.
DOI : 10.1145/1273496.1273596

G. Shakhnarovich, T. Darrell, and P. Indyk, Nearest- Neighbor Methods in Learning and Vision: Theory and Practice, p.873, 2006.

C. Vertan and N. Boujemaa, Upgrading Color Distributions for Image Retrieval Can We Do Better?, Advances in Visual Information Systems, pp.597-606, 2000.
DOI : 10.1007/3-540-40053-2_16

J. Wang, S. Kumar, and S. Chang, Semi-supervised hashing for scalable image retrieval, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.3424-3431, 2010.
DOI : 10.1109/CVPR.2010.5539994

R. Weber, H. J. Schek, and S. Blott, A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces, Int. Conf. on Very Large Data Bases, pp.194-205, 1998.

Y. Weiss, A. Torralba, and R. Fergus, Spectral hashing, NIPS, pp.1753-1760, 2008.