메뉴 건너뛰기




Volumn , Issue , 2011, Pages 225-234

Composite hashing with multiple information sources

Author keywords

Composite hashing; Multiple information sources; Semantic hashing

Indexed keywords

DIGITAL STORAGE; SEMANTICS;

EID: 80052110460     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2009916.2009950     Document Type: Conference Paper
Times cited : (221)

References (54)
  • 1
    • 38749118638 scopus 로고    scopus 로고
    • Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
    • DOI 10.1109/FOCS.2006.49, 4031381, 47th Annual IEEE Symposium on Foundations of Computer Science, FOCS 2006
    • A. Andoni and P. Indyk. Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. In FOCS, pages 459-468, 2006. (Pubitemid 351175534)
    • (2006) Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS , pp. 459-468
    • Andoni, A.1    Indyk, P.2
  • 4
    • 54249097427 scopus 로고    scopus 로고
    • Learning to hash: Forgiving hash functions and applications
    • S. Baluja and M. Covell. Learning to hash: forgiving hash functions and applications. Data Mining and Knowledge Discovery, 17(3):402-430, 2008.
    • (2008) Data Mining and Knowledge Discovery , vol.17 , Issue.3 , pp. 402-430
    • Baluja, S.1    Covell, M.2
  • 5
    • 4344599431 scopus 로고    scopus 로고
    • Learning eigenfunctions links spectral embedding and kernel PCA
    • DOI 10.1162/0899766041732396
    • Y. Bengio, O. Delalleau, N. Roux, J. Paiement, P. Vincent, and M. Ouimet. Learning eigenfunctions links spectral embedding and kernel PCA. Neural Computation, 16(10):2197-2219, 2004. (Pubitemid 39137820)
    • (2004) Neural Computation , vol.16 , Issue.10 , pp. 2197-2219
    • Bengio, Y.1    Delalleau, O.2    Le Roux, N.3    Paiement, J.-F.4    Vincent, P.5    Ouimet, M.6
  • 8
    • 0031346696 scopus 로고    scopus 로고
    • On the resemblance and containment of documents
    • IEEE Computer Society
    • A. Z. Broder. On the resemblance and containment of documents. In CCS, pages 21-29. IEEE Computer Society, 1997.
    • (1997) CCS , pp. 21-29
    • Broder, A.Z.1
  • 9
    • 70450192888 scopus 로고    scopus 로고
    • Geometric min-hashing: Finding a (thick) needle in a haystack
    • O. Chum, M. Perdoch, and J. Matas. Geometric min-hashing: Finding a (thick) needle in a haystack. In CVPR, pages 17-24, 2009.
    • (2009) CVPR , pp. 17-24
    • Chum, O.1    Perdoch, M.2    Matas, J.3
  • 10
    • 84898444828 scopus 로고    scopus 로고
    • Near duplicate image detection: Min-hash and tf-idf weighting
    • O. Chum, J. Philbin, and A. Zisserman. Near duplicate image detection: min-hash and tf-idf weighting. In BMVC, volume 3, page 4, 2008.
    • (2008) BMVC , vol.3 , pp. 4
    • Chum, O.1    Philbin, J.2    Zisserman, A.3
  • 11
    • 0003882879 scopus 로고    scopus 로고
    • American Mathematical Society Providence, RI
    • F. Chung and N. Biggs. Spectral graph theory. American Mathematical Society Providence, RI, 1997.
    • (1997) Spectral Graph Theory
    • Chung, F.1    Biggs, N.2
  • 13
    • 80051486140 scopus 로고    scopus 로고
    • Efficient set intersection for inverted indexing
    • December
    • J. S. Culpepper and A. Moffat. Efficient set intersection for inverted indexing. ACM Trans. Inf. Syst., 29:111-125, December 2010.
    • (2010) ACM Trans. Inf. Syst. , vol.29 , pp. 111-125
    • Culpepper, J.S.1    Moffat, A.2
  • 14
    • 4544259509 scopus 로고    scopus 로고
    • Locality-sensitive hashing scheme based on p-stable distributions
    • M. Datar, N. Immorlica, P. Indyk, and V. S. Mirrokni. Locality-sensitive hashing scheme based on p-stable distributions. In SCG, pages 253-262, 2004.
    • (2004) SCG , pp. 253-262
    • Datar, M.1    Immorlica, N.2    Indyk, P.3    Mirrokni, V.S.4
  • 17
    • 15044355327 scopus 로고    scopus 로고
    • Similarity search in high dimensions via hashing
    • A. Gionis, P. Indyk, and R. Motwani. Similarity search in high dimensions via hashing. In VLDB, pages 518-529, 1999.
    • (1999) VLDB , pp. 518-529
    • Gionis, A.1    Indyk, P.2    Motwani, R.3
  • 18
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • DOI 10.1162/neco.2006.18.7.1527
    • G. E. Hinton, S. Osindero, and Y.-W. Teh. A Fast Learning Algorithm for Deep Belief Nets. Neural Comp., 18(7):1527-1554, July 2006. (Pubitemid 44024729)
    • (2006) Neural Computation , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.-W.3
  • 19
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • DOI 10.1126/science.1127647
    • G. E. Hinton and R. R. Salakhutdinov. Reducing the Dimensionality of Data with Neural Networks. Science, 313(5786):504-507, July 2006. (Pubitemid 44148451)
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 20
    • 85026972772 scopus 로고    scopus 로고
    • Probabilistic latent semantic indexing
    • ACM
    • T. Hofmann. Probabilistic latent semantic indexing. In SIGIR, pages 50-57. ACM, 1999.
    • (1999) SIGIR , pp. 50-57
    • Hofmann, T.1
  • 21
    • 0345120047 scopus 로고    scopus 로고
    • Composite kernels for hypertext categorisation
    • Morgan Kaufmann Publishers
    • T. Joachims and N. Cristianini. Composite kernels for hypertext categorisation. In ICML, pages 250-257. Morgan Kaufmann Publishers, 2001.
    • (2001) ICML , pp. 250-257
    • Joachims, T.1    Cristianini, N.2
  • 22
    • 84858740468 scopus 로고    scopus 로고
    • Learning to hash with binary reconstructive embeddings
    • B. Kulis and T. Darrell. Learning to hash with binary reconstructive embeddings. NIPS, 2009.
    • (2009) NIPS
    • Kulis, B.1    Darrell, T.2
  • 24
    • 80052112818 scopus 로고    scopus 로고
    • Two-view transductive support vector machines
    • G. Li, S. C. H. Hoi, and K. Chang. Two-view transductive support vector machines. In SDM, pages 235-244, 2010.
    • (2010) SDM , pp. 235-244
    • Li, G.1    Hoi, S.C.H.2    Chang, K.3
  • 25
    • 71749087578 scopus 로고    scopus 로고
    • Brute force and indexed approaches to pairwise document similarity comparisons with mapreduce
    • ACM
    • J. Lin. Brute force and indexed approaches to pairwise document similarity comparisons with mapreduce. In SIGIR, pages 155-162. ACM, 2009.
    • (2009) SIGIR , pp. 155-162
    • Lin, J.1
  • 26
    • 77955987829 scopus 로고    scopus 로고
    • SPEC hashing: Similarity preserving algorithm for entropy-based coding
    • R. Lin, D. Ross, and J. Yagnik. SPEC hashing: Similarity preserving algorithm for entropy-based coding. In CVPR, pages 848-854, 2010.
    • (2010) CVPR , pp. 848-854
    • Lin, R.1    Ross, D.2    Yagnik, J.3
  • 27
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • D. Lowe. Object recognition from local scale-invariant features. In ICCV, page 1150, 1999.
    • (1999) ICCV , pp. 1150
    • Lowe, D.1
  • 29
    • 0000806922 scopus 로고    scopus 로고
    • Automating the construction of internet portals with machine learning
    • A. K. Mccallum, K. Nigam, J. Rennie, and K. Seymore. Automating the construction of internet portals with machine learning. Information Retrieval, 3:127-163, 1999.
    • (1999) Information Retrieval , vol.3 , pp. 127-163
    • Mccallum, A.K.1    Nigam, K.2    Rennie, J.3    Seymore, K.4
  • 30
    • 77955986970 scopus 로고    scopus 로고
    • Weakly-supervised hashing in kernel space
    • Y. Mu, J. Shen, and S. Yan. Weakly-supervised hashing in kernel space. In CVPR, pages 3344-3351, 2010.
    • (2010) CVPR , pp. 3344-3351
    • Mu, Y.1    Shen, J.2    Yan, S.3
  • 31
    • 0037806811 scopus 로고    scopus 로고
    • The boosting approach to machine learning: An overview
    • R.E. Schapire. The boosting approach to machine learning: An overview. Nonlinear Estimation and Classification, pages 149-172, 2003.
    • (2003) Nonlinear Estimation and Classification , pp. 149-172
    • Schapire, R.E.1
  • 34
    • 0000417994 scopus 로고
    • Developments in automatic text retrieval
    • G. Salton. Developments in automatic text retrieval. Science, 253(5023):974-980, 1991. (Pubitemid 21917238)
    • (1991) Science , vol.253 , Issue.5023 , pp. 974-980
    • Salton, G.1
  • 35
    • 45549117987 scopus 로고
    • Term-weighting approaches in automatic text retrieval
    • G. Salton and C. Buckley. Term-weighting approaches in automatic text retrieval. Information processing and management, 24(5):513-523, 1988.
    • (1988) Information Processing and Management , vol.24 , Issue.5 , pp. 513-523
    • Salton, G.1    Buckley, C.2
  • 37
    • 0345414554 scopus 로고    scopus 로고
    • Fast pose estimation with parameter-sensitive hashing
    • G. Shakhnarovich, P. A. Viola, and T. Darrell. Fast pose estimation with parameter-sensitive hashing. In ICCV, pages 750-759, 2003.
    • (2003) ICCV , pp. 750-759
    • Shakhnarovich, G.1    Viola, P.A.2    Darrell, T.3
  • 39
    • 78651326353 scopus 로고    scopus 로고
    • Vsencoding: Efficient coding and fast decoding of integer lists via dynamic programming
    • F. Silvestri and R. Venturini. Vsencoding: efficient coding and fast decoding of integer lists via dynamic programming. In CIKM, pages 1219-1228, 2010.
    • (2010) CIKM , pp. 1219-1228
    • Silvestri, F.1    Venturini, R.2
  • 41
    • 36448954599 scopus 로고    scopus 로고
    • Principles of hash-based text retrieval
    • ACM
    • B. Stein. Principles of hash-based text retrieval. In SIGIR, page 534. ACM, 2007.
    • (2007) SIGIR , pp. 534
    • Stein, B.1
  • 43
    • 77955988108 scopus 로고    scopus 로고
    • Semi-supervised hashing for scalable image retrieval
    • J. Wang, O. Kumar, and S.-F. Chang. Semi-supervised hashing for scalable image retrieval. In CVPR, pages 3424-3431, 2010.
    • (2010) CVPR , pp. 3424-3431
    • Wang, J.1    Kumar, O.2    Chang, S.-F.3
  • 44
    • 77956496400 scopus 로고    scopus 로고
    • Sequential projection learning for hashing with compact codes
    • J. Wang, S. Kumar, and S.-F. Chang. Sequential projection learning for hashing with compact codes. In ICML, pages 1127-1134, 2010.
    • (2010) ICML , pp. 1127-1134
    • Wang, J.1    Kumar, S.2    Chang, S.-F.3
  • 45
    • 33845569752 scopus 로고    scopus 로고
    • Annosearch: Image auto-annotation by search
    • X. Wang, L. Zhang, F. Jing, and W. Ma. Annosearch: Image auto-annotation by search. In CVPR, 2006.
    • (2006) CVPR
    • Wang, X.1    Zhang, L.2    Jing, F.3    Ma, W.4
  • 46
    • 0012951952 scopus 로고    scopus 로고
    • A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces
    • R. Weber, H. Schek, and S. Blott. A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces. In VLDB, pages 194-205.
    • VLDB , pp. 194-205
    • Weber, R.1    Schek, H.2    Blott, S.3
  • 47
    • 84858779327 scopus 로고    scopus 로고
    • Spectral hashing
    • Y. Weiss, A. Torralba, and R. Fergus. Spectral hashing. NIPS, 21:1753-1760, 2009.
    • (2009) NIPS , vol.21 , pp. 1753-1760
    • Weiss, Y.1    Torralba, A.2    Fergus, R.3
  • 49
    • 33644783522 scopus 로고    scopus 로고
    • Self-tuning spectral clustering
    • L. Zelnik-Manor and P. Perona. Self-tuning spectral clustering. NIPS, 17:1601-1608, 2004.
    • (2004) NIPS , vol.17 , pp. 1601-1608
    • Zelnik-Manor, L.1    Perona, P.2
  • 50
    • 57749186425 scopus 로고    scopus 로고
    • Multi-view local learning
    • D. Zhang, F. Wang, C. Zhang, and T. Li. Multi-view local learning. In AAAI, pages 752-757, 2008.
    • (2008) AAAI , pp. 752-757
    • Zhang, D.1    Wang, F.2    Zhang, C.3    Li, T.4
  • 52
    • 77956027394 scopus 로고    scopus 로고
    • Self-taught hashing for fast similarity search
    • ACM
    • D. Zhang, J. Wang, D. Cai, and J. Lu. Self-taught hashing for fast similarity search. In SIGIR, pages 18-25. ACM, 2010.
    • (2010) SIGIR , pp. 18-25
    • Zhang, D.1    Wang, J.2    Cai, D.3    Lu, J.4
  • 54
    • 33747729581 scopus 로고    scopus 로고
    • Inverted files for text search engines
    • J. Zobel and A. Moffat. Inverted files for text search engines. ACM Comput. Surv., 38(2), 2006.
    • (2006) ACM Comput. Surv. , vol.38 , Issue.2
    • Zobel, J.1    Moffat, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.