Harmonious Hashing

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2013, Pages 1820-1826

  Xu, Bin ^a   Bu, Jiajun ^a   Lin, Yue ^b   Chen, Chun ^a   He, Xiaofei ^b   Cai, Deng ^b  

^a ZHEJIANG UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BINARIZATIONS; CUMULATIVE ENERGY; FAST NEAREST NEIGHBOR SEARCH; HASHING ALGORITHMS; HASHING METHOD; HIGH-DIMENSIONAL; INFORMATION LOSS; NEAREST NEIGHBOR SEARCH;

HASH FUNCTIONS; INDUSTRIAL RESEARCH;

ARTIFICIAL INTELLIGENCE;

EID: 84896062187     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. M.S. Charikar. Similarity estimation techniques from rounding algorithms. In Proceedings of the thiry-fourth annual ACM symposium on Theory of computing, pages 380-388, 2002.
2. X. Chen, Y. Qi, B. Bai, Q. Lin, and J.G. Carbonell. Sparse latent semantic analysis. In SIAM 2011 International Conference on Data Mining, pages 474-485, 2011.
3. F.R.K. Chung. Spectral graph theory, volume 92. Amer Mathematical Society, 1997.
4. Y. Gong and S. Lazebnik. Iterative quantization: A procrustean approach to learning binary codes. In IEEE Conference on Computer Vision and Pattern Recognition, pages 817-824, 2011.
5. K. Hajebi, Y. Abbasi-Yadkori, H. Shahbazi, and H. Zhang. Fast approximate nearest-neighbor search with k-nearest neighbor graph. In Proceedings of the Twenty-Second international joint conference on Artificial Intelligence, pages 1312-1317, 2011.
6. J. He, R. Radhakrishnan, S.F. Chang, and C. Bauer. Compact hashing with joint optimization of search accuracy and time. In IEEE Conference on Computer Vision and Pattern Recognition, pages 753-760, 2011.
7. P. Indyk and R. Motwani. Approximate nearest neighbors: towards removing the curse of dimensionality. In Proceedings of the thirtieth annual ACM symposium on Theory of computing, pages 604-613, 1998.
8. H. Jégou, M. Douze, and C. Schmid. Product quantization for nearest neighbor search. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(1):117-128, 2011.
9. W. Kong and W.J. Li. Isotropic hashing. In Advances in Neural Information Processing Systems, pages 1655-1663, 2012.
10. B. Kulis and T. Darrell. Learning to hash with binary reconstructive embeddings. Advances in neural information processing systems, pages 1042- 1050, 2009.
11. B. Kulis and K. Grauman. Kernelized locality-sensitive hashing for scalable image search. In IEEE International Conference on Computer Vision, pages 2130-2137, 2009.
12. S. Kumar and R. Udupa. Learning hash functions for cross-view similarity search. In Proceedings of the Twenty-Second international joint conference on Artificial Intelligence, pages 1360-1365, 2011.
13. Y. Lin, R. Jin, D. Cai, and X. He. Random projection with filtering for nearly duplicate search. In Proceedings of the Twenty-Sixth Conference on Artificial Intelligence, pages 641-647, 2012.
14. W. Liu, J. He, and S.F. Chang. Large graph construction for scalable semi-supervised learning. In Proceedings of the 27th International Conference on Machine Learning, pages 679-686, 2010.
15. W. Liu, J. Wang, S. Kumar, and S.F. Chang. Hashing with graphs. In Proceedings of the 28th International Conference on Machine Learning, pages 1- 8, 2011.
16. Yao Lu, Wei Zhang, Ke Zhang, and Xiangyang Xue. Semantic context learning with large-scale weakly-labeled image set. In Proceedings of the 21st ACM international conference on Information and knowledge management, pages 1859-1863, 2012.
17. M. Muja and D.G. Lowe. Fast approximate nearest neighbors with automatic algorithm configuration. In International Conference on Computer Vision Theory and Applications, pages 331-340, 2009.
18. J. Wang, S. Kumar, and S.F. Chang. Semi-supervised hashing for scalable image retrieval. In IEEE Conference on Computer Vision and Pattern Recognition, pages 3424-3431, 2010.
19. J. Wang, S. Kumar, and S.F. Chang. Sequential projection learning for hashing with compact codes. In Proceedings of International Conference on Machine Learning, pages 1127-1134, 2010.
20. Y. Weiss, A. Torralba, and R. Fergus. Spectral hashing. Advances in neural information processing systems, pages 1753-1760, 2008.
21. B. Xu, J. Bu, C. Chen, D. Cai, X. He, W. Liu, and J. Luo. Efficient manifold ranking for image retrieval. In Proceedings of the 34th international ACM SIGIR conference on Research and development in Information, pages 525-534, 2011.
22. S.X. Yu and J. Shi. Multiclass spectral clustering. In IEEE International Conference on Computer Vision, pages 313-319, 2003.
23. Zhou Yu, Deng Cai, and Xiaofei He. Errorcorrecting output hashing in fast similarity search. In Proceedings of the Second International Conference on Internet Multimedia Computing and Service, pages 7-10, 2010.
24. K. Zhang, J.T. Kwok, and B. Parvin. Prototype vector machine for large scale semi-supervised learning. In Proceedings of the 26th Annual International Conference on Machine Learning, pages 1233- 1240, 2009.
25. Dell Zhang, Jun Wang, Deng Cai, and Jinsong Lu. Self-taught hashing for fast similarity search. In Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, pages 18-25, 2010.