References Weiss,Y.;Torralba,A.;and Fergus,R.2008.Spectral hash- Andoni,A.,and Indyk,P.2008.Near-optimal hashing algo- ing.In Proceedings of Neural Information Processing Sys- rithms for approximate nearest neighbor in high dimensions. tems. Commun.ACM51(1):117-122 Zhang,D.;Wang,J.;Cai,D.;and Lu,J.2010.Self-taught Datar,M.;Immorlica,N.;Indyk,P.;and Mirrokni,V.S. hashing for fast similarity search.In Proceedings of Inter- 2004.Locality-sensitive hashing scheme based on p-stable national ACM SIGIR Conference on Research and Develop- distributions.In Proceedings of the ACM Symposium on ment in Information Retrieval. Computational Geometry. Zhang,D.;Wang,F.;and Si,L.2011.Composite hash- Gionis.A.:Indyk,P:and Motwani.R.1999.Similarity ing with multiple information sources.In Proceedings of search in high dimensions via hashing.In Proceedings of International ACM SIGIR Conference on Research and De- International Conference on Very Large Data Bases. velopment in Information Retrieval. Gong,Y.,and Lazebnik,S.2011.Iterative quantization:A procrustean approach to learning binary codes.In Proceed- ings of Computer Vision and Pattern Recognition. He,J.;Radhakrishnan,R.;Chang,S.-F.;and Bauer,C.2011. Compact hashing with joint optimization of search accuracy and time.In Proceedings of Computer Vision and Pattern Recognition. Krizhevsky,A.2009.Learning multiple layers of features from tiny images.Tech report,University of Toronto. Kulis,B.,and Darrell,T.2009.Learning to hash with bi- nary reconstructive embeddings.In Proceedings of Neural Information Processing Systems. Kulis,B.,and Grauman,K.2009.Kernelized locality- sensitive hashing for scalable image search.In Proceedings of International Conference on Computer Vision. Kulis,B.;Jain,P.;and Grauman,K.2009.Fast similarity search for learned metrics.IEEE Trans.Pattern Anal.Mach. Intell..31(12):2143-2157. Liu,W.;Wang,J.;Kumar,S.;and Chang,S.-F.2011.Hash- ing with graphs.In Proceedings of International Conference on Machine Learning. Liu,W.;Wang.J.;Ji,R.;Jiang,Y.-G.;and Chang,S.-F. 2012.Supervised hashing with kernels.In Proceedings of Computer Vision and Pattern Recognition. Norouzi,M.,and Fleet,D.J.2011.Minimal loss hashing for compact binary codes.In Proceedings of International Conference on Machine Learning. Oliva,A.,and Torralba,A.2001.Modeling the shape of the scene:A holistic representation of the spatial envelope. International Journal of Computer Vision 42(3):145-175. Raginsky,M.,and Lazebnik,S.2009.Locality-sensitive binary codes from shift-invariant kernels.In Proceedings of Neural Information Processing Systems. Salakhutdinov,R.,and Hinton,G.2007.Semantic Hashing. In SIGIR workshop on Information Retrieval and applica- tions of Graphical Models. Salakhutdinov,R.,and Hinton,G.E.2009.Semantic hash- ing.Int.J.Approx.Reasoning 50(7):969-978. Torralba,A.;Fergus,R.;and Weiss,Y.2008.Small codes and large image databases for recognition.In Proceedings of Computer Vision and Pattern Recognition. Wang,J.;Kumar,S.;and Chang,S.-F.2010.Sequential projection learning for hashing with compact codes.In Pro- ceedings of International Conference on Machine Learning.References Andoni, A., and Indyk, P. 2008. Near-optimal hashing algo￾rithms for approximate nearest neighbor in high dimensions. Commun. ACM 51(1):117–122. Datar, M.; Immorlica, N.; Indyk, P.; and Mirrokni, V. S. 2004. Locality-sensitive hashing scheme based on p-stable distributions. In Proceedings of the ACM Symposium on Computational Geometry. Gionis, A.; Indyk, P.; and Motwani, R. 1999. Similarity search in high dimensions via hashing. In Proceedings of International Conference on Very Large Data Bases. Gong, Y., and Lazebnik, S. 2011. Iterative quantization: A procrustean approach to learning binary codes. In Proceed￾ings of Computer Vision and Pattern Recognition. He, J.; Radhakrishnan, R.; Chang, S.-F.; and Bauer, C. 2011. Compact hashing with joint optimization of search accuracy and time. In Proceedings of Computer Vision and Pattern Recognition. Krizhevsky, A. 2009. Learning multiple layers of features from tiny images. Tech report, University of Toronto. Kulis, B., and Darrell, T. 2009. Learning to hash with bi￾nary reconstructive embeddings. In Proceedings of Neural Information Processing Systems. Kulis, B., and Grauman, K. 2009. Kernelized locality￾sensitive hashing for scalable image search. In Proceedings of International Conference on Computer Vision. Kulis, B.; Jain, P.; and Grauman, K. 2009. Fast similarity search for learned metrics. IEEE Trans. Pattern Anal. Mach. Intell. 31(12):2143–2157. Liu, W.; Wang, J.; Kumar, S.; and Chang, S.-F. 2011. Hash￾ing with graphs. In Proceedings of International Conference on Machine Learning. Liu, W.; Wang, J.; Ji, R.; Jiang, Y.-G.; and Chang, S.-F. 2012. Supervised hashing with kernels. In Proceedings of Computer Vision and Pattern Recognition. Norouzi, M., and Fleet, D. J. 2011. Minimal loss hashing for compact binary codes. In Proceedings of International Conference on Machine Learning. Oliva, A., and Torralba, A. 2001. Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision 42(3):145–175. Raginsky, M., and Lazebnik, S. 2009. Locality-sensitive binary codes from shift-invariant kernels. In Proceedings of Neural Information Processing Systems. Salakhutdinov, R., and Hinton, G. 2007. Semantic Hashing. In SIGIR workshop on Information Retrieval and applica￾tions of Graphical Models. Salakhutdinov, R., and Hinton, G. E. 2009. Semantic hash￾ing. Int. J. Approx. Reasoning 50(7):969–978. Torralba, A.; Fergus, R.; and Weiss, Y. 2008. Small codes and large image databases for recognition. In Proceedings of Computer Vision and Pattern Recognition. Wang, J.; Kumar, S.; and Chang, S.-F. 2010. Sequential projection learning for hashing with compact codes. In Pro￾ceedings of International Conference on Machine Learning. Weiss, Y.; Torralba, A.; and Fergus, R. 2008. Spectral hash￾ing. In Proceedings of Neural Information Processing Sys￾tems. Zhang, D.; Wang, J.; Cai, D.; and Lu, J. 2010. Self-taught hashing for fast similarity search. In Proceedings of Inter￾national ACM SIGIR Conference on Research and Develop￾ment in Information Retrieval. Zhang, D.; Wang, F.; and Si, L. 2011. Composite hash￾ing with multiple information sources. In Proceedings of International ACM SIGIR Conference on Research and De￾velopment in Information Retrieval