메뉴 건너뛰기




Volumn 17, Issue 9, 2015, Pages 1404-1416

Learning Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure

Author keywords

Deep learning; multimodal hashing; Similarity search

Indexed keywords

CODES (SYMBOLS);

EID: 84939232131     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2015.2455415     Document Type: Article
Times cited : (101)

References (55)
  • 2
  • 3
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • J. A. Suykens and J. Vandewalle, "Least squares support vector machine classifiers," Neural Process. Lett., vol. 9, no. 3, pp. 293-300, 1999.
    • (1999) Neural Process. Lett. , vol.9 , Issue.3 , pp. 293-300
    • Suykens, J.A.1    Vandewalle, J.2
  • 4
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithms and applications
    • A. Hyvärinen and E. Oja, "Independent component analysis: Algorithms and applications," Neural Netw., vol. 13, no. 4, pp. 411-430, 2000.
    • (2000) Neural Netw , vol.13 , Issue.4 , pp. 411-430
    • Hyvärinen, A.1    Oja, E.2
  • 7
    • 69349090197 scopus 로고    scopus 로고
    • Learning deep architectures for AI
    • Y. Bengio, "Learning deep architectures for AI," Found. Trends Mach. Learning, vol. 2, no. 1, pp. 1-127, 2009.
    • (2009) Found. Trends Mach. Learning , vol.2 , Issue.1 , pp. 1-127
    • Bengio, Y.1
  • 8
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • G. E. Hinton, S. Osindero, and Y.-W. Teh, "A fast learning algorithm for deep belief nets," Neural Comput., vol. 18, no. 7, pp. 1527-1554, 2006.
    • (2006) Neural Comput , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.-W.3
  • 9
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks," in Proc. NIPS, 2012, vol. 1, no. 2, pp. 1097-1105.
    • (2012) Proc. NIPS , vol.1 , Issue.2 , pp. 1097-1105
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 11
    • 77949522811 scopus 로고    scopus 로고
    • Why does unsupervised pre-training help deep learning
    • D. Erhan et al., "Why does unsupervised pre-training help deep learning," JMLR, vol. 11, pp. 625-660, 2010.
    • (2010) JMLR , vol.11 , pp. 625-660
    • Erhan, D.1
  • 12
    • 80053437179 scopus 로고    scopus 로고
    • Multimodal deep learning
    • J. Ngiam et al., "Multimodal deep learning," in Proc. ICML, 2011, pp. 689-696.
    • (2011) Proc. ICML , pp. 689-696
    • Ngiam, J.1
  • 13
    • 84877724347 scopus 로고    scopus 로고
    • Multimodal learning with deep Boltzmann machines
    • N. Srivastava and R. Salakhutdinov, "Multimodal learning with deep Boltzmann machines," in Proc. NIPS, 2012, pp. 2231-2239.
    • (2012) Proc. NIPS , pp. 2231-2239
    • Srivastava, N.1    Salakhutdinov, R.2
  • 14
    • 80053457714 scopus 로고    scopus 로고
    • Minimal loss hashing for compact binary codes
    • M. Norouzi and D. M. Blei, "Minimal loss hashing for compact binary codes," in Proc. ICML, 2011, pp. 353-360.
    • (2011) Proc. ICML , pp. 353-360
    • Norouzi, M.1    Blei, D.M.2
  • 15
    • 84874039473 scopus 로고    scopus 로고
    • Deep learning to hash with multiple representations
    • Y. Kang, S. Kim, and S. Choi, "Deep learning to hash with multiple representations," in Proc. ICDM, 2012, pp. 930-935.
    • (2012) Proc. ICDM , pp. 930-935
    • Kang, Y.1    Kim, S.2    Choi, S.3
  • 18
    • 77952328425 scopus 로고    scopus 로고
    • New trends and ideas in visual concept detection: The MIR Flickr retrieval evaluation initiative
    • M. J. Huiskes, B. Thomee, and M. S. Lew, "New trends and ideas in visual concept detection: The MIR Flickr retrieval evaluation initiative," in Proc. Int. Conf. Multimedia Inf. Retrieval, 2010, pp. 527-536.
    • (2010) Proc. Int. Conf. Multimedia Inf. Retrieval , pp. 527-536
    • Huiskes, M.J.1    Thomee, B.2    Lew, M.S.3
  • 20
    • 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 Proc. SOCG, 2004, pp. 253-262.
    • (2004) Proc. SOCG , pp. 253-262
    • Datar, M.1    Immorlica, N.2    Indyk, P.3    Mirrokni, V.S.4
  • 21
    • 84955245129 scopus 로고    scopus 로고
    • Multi-probe LSH: Efficient indexing for high-dimensional similarity search
    • Q. Lv, W. Josephson, Z. Wang, M. Charikar, and K. Li, "Multi-probe LSH: Efficient indexing for high-dimensional similarity search," in Proc. VLDB, 2007, pp. 950-961.
    • (2007) Proc. VLDB , pp. 950-961
    • Lv, Q.1    Josephson, W.2    Wang, Z.3    Charikar, M.4    Li, K.5
  • 22
    • 70350660774 scopus 로고    scopus 로고
    • A posteriori multi-probe locality sensitive hashing
    • A. Joly and O. Buisson, "A posteriori multi-probe locality sensitive hashing," in Proc. ACM Multimedia, 2008, pp. 209-218.
    • (2008) Proc. ACM Multimedia , pp. 209-218
    • Joly, A.1    Buisson, O.2
  • 23
  • 24
    • 67449128732 scopus 로고    scopus 로고
    • Semantic hashing
    • R. Salakhutdinov and G. Hinton, "Semantic hashing," IJAR, vol. 50, no. 7, pp. 969-978, 2009.
    • (2009) IJAR , vol.50 , Issue.7 , pp. 969-978
    • Salakhutdinov, R.1    Hinton, G.2
  • 26
    • 84908192527 scopus 로고    scopus 로고
    • Supervised hashing for image retrieval via image representation learning
    • 2014
    • R. Xia, Y. Pan, H. Lai, C. Liu, and S. Yan, "Supervised hashing for image retrieval via image representation learning," in Proc. AAAI, 2014, pp. 2156-2162.
    • Proc. AAAI , pp. 2156-2162
    • Xia, R.1    Pan, Y.2    Lai, H.3    Liu, C.4    Yan, S.5
  • 31
    • 80052110460 scopus 로고    scopus 로고
    • Composite hashing with multiple information sources
    • D. Zhang, F. Wang, and L. Si, "Composite hashing with multiple information sources," in Proc. SIGIR, 2011, pp. 225-234.
    • (2011) Proc. SIGIR , pp. 225-234
    • Zhang, D.1    Wang, F.2    Si, L.3
  • 32
    • 84866037322 scopus 로고    scopus 로고
    • A probabilistic model for multimodal hash function learning
    • Y. Zhen and D.-Y. Yeung, "A probabilistic model for multimodal hash function learning," in Proc. SIGKDD, 2012, pp. 940-948.
    • (2012) Proc. SIGKDD , pp. 940-948
    • Zhen, Y.1    Yeung, D.-Y.2
  • 33
    • 84896062612 scopus 로고    scopus 로고
    • Parametric local multimodal hashing for cross-view similarity search
    • D. Zhai et al., "Parametric local multimodal hashing for cross-view similarity search," in Proc. IJCAI, 2013, pp. 2754-2760.
    • (2013) Proc. IJCAI , pp. 2754-2760
    • Zhai, D.1
  • 34
    • 84880548516 scopus 로고    scopus 로고
    • Inter-media hashing for large-scale retrieval from heterogeneous data sources
    • J. Song, Y. Yang, Y. Yang, Z. Huang, and H. T. Shen, "Inter-media hashing for large-scale retrieval from heterogeneous data sources," in Proc. SIGMOD, 2013, pp. 785-796.
    • (2013) Proc. SIGMOD , pp. 785-796
    • Song, J.1    Yang, Y.2    Yang, Y.3    Huang, Z.4    Shen, H.T.5
  • 35
    • 84893377154 scopus 로고    scopus 로고
    • Sparse multi-modal hashing
    • Feb.
    • F. Wu et al., "Sparse multi-modal hashing," IEEE Trans. Multimedia, vol. 16, no. 2, pp. 427-439, Feb. 2014.
    • (2014) IEEE Trans. Multimedia , vol.16 , Issue.2 , pp. 427-439
    • Wu, F.1
  • 36
    • 84908164811 scopus 로고    scopus 로고
    • Large-scale supervised multimodal hashing with semantic correlation maximization
    • D. Zhang and W.-J. Li, "Large-scale supervised multimodal hashing with semantic correlation maximization," in Proc. AAAI, 2014, pp. 2177-2183.
    • (2014) Proc. AAAI , pp. 2177-2183
    • Zhang, D.1    Li, W.-J.2
  • 37
    • 84866034209 scopus 로고    scopus 로고
    • Learning hash functions for cross-view similarity search
    • S. Kumar and R. Udupa, "Learning hash functions for cross-view similarity search," in Proc. IJCAI, 2011, vol. 22, no. 1, pp. 1360-1366.
    • (2011) Proc. IJCAI , vol.22 , Issue.1 , pp. 1360-1366
    • Kumar, S.1    Udupa, R.2
  • 39
    • 84999832326 scopus 로고    scopus 로고
    • Comparing apples to oranges: A scalable solution with heterogeneous hashing
    • M. Ou et al., "Comparing apples to oranges: A scalable solution with heterogeneous hashing," in Proc. SIGKDD, 2013, pp. 230-238.
    • (2013) Proc. SIGKDD , pp. 230-238
    • Ou, M.1
  • 40
    • 84901787656 scopus 로고    scopus 로고
    • Effective multi-modal retrieval based on stacked auto-encoders
    • W. Wang, B. C. Ooi, X. Yang, D. Zhang, and Y. Zhuang, "Effective multi-modal retrieval based on stacked auto-encoders," in Proc. VLDB Endowment, 2014, vol. 7, no. 8, pp. 649-660.
    • (2014) Proc. VLDB Endowment , vol.7 , Issue.8 , pp. 649-660
    • Wang, W.1    Ooi, B.C.2    Yang, X.3    Zhang, D.4    Zhuang, Y.5
  • 41
    • 84913546300 scopus 로고    scopus 로고
    • Cross-modal retrieval with correspondence autoencoder
    • F. Feng, X. Wang, and R. Li, "Cross-modal retrieval with correspondence autoencoder," in Proc. ACM Multimedia, 2014, pp. 7-16.
    • (2014) Proc. ACM Multimedia , pp. 7-16
    • Feng, F.1    Wang, X.2    Li, R.3
  • 42
    • 84861125212 scopus 로고    scopus 로고
    • A practical guide to training restricted Boltzmann machines
    • G. Hinton, "A practical guide to training restricted Boltzmann machines," Momentum, vol. 9, no. 1, pp. 926-945, 2010.
    • (2010) Momentum , vol.9 , Issue.1 , pp. 926-945
    • Hinton, G.1
  • 43
    • 33745780732 scopus 로고    scopus 로고
    • Exponential family harmoniums with an application to information retrieval
    • M. Welling, M. Rosen-Zvi, and G. E. Hinton, "Exponential family harmoniums with an application to information retrieval," in Proc. NIPS, 2004, pp. 1481-1488.
    • (2004) Proc. NIPS , pp. 1481-1488
    • Welling, M.1    Rosen-Zvi, M.2    Hinton, G.E.3
  • 44
    • 77956556686 scopus 로고    scopus 로고
    • Replicated softmax: An undirected topic model
    • G. E. Hinton and R. Salakhutdinov, "Replicated softmax: An undirected topic model," in Proc. NIPS, 2009, pp. 1607-1614.
    • (2009) Proc. NIPS , pp. 1607-1614
    • Hinton, G.E.1    Salakhutdinov, R.2
  • 45
    • 0013344078 scopus 로고    scopus 로고
    • Training products of experts by minimizing contrastive divergence
    • G. E. Hinton, "Training products of experts by minimizing contrastive divergence," Neural Comput., vol. 14, no. 8, pp. 1771-1800, 2002.
    • (2002) Neural Comput , vol.14 , Issue.8 , pp. 1771-1800
    • Hinton, G.E.1
  • 47
    • 84913586072 scopus 로고    scopus 로고
    • Exploring inter-feature and inter-class relationships with deep neural networks for video classification
    • Z. Wu, Y.-G. Jiang, J. Wang, J. Pu, and X. Xue, "Exploring inter-feature and inter-class relationships with deep neural networks for video classification," in Proc. ACM Int. Conf. Multimedia, 2014, pp. 167-176.
    • (2014) Proc. ACM Int. Conf. Multimedia , pp. 167-176
    • Wu, Z.1    Jiang, Y.-G.2    Wang, J.3    Pu, J.4    Xue, X.5
  • 48
    • 78650967345 scopus 로고    scopus 로고
    • A new approach to cross-modal multimedia retrieval
    • N. Rasiwasia et al., "A new approach to cross-modal multimedia retrieval," in Proc. ACM Multimedia, 2010, pp. 251-260.
    • (2010) Proc. ACM Multimedia , pp. 251-260
    • Rasiwasia, N.1
  • 49
    • 0141607824 scopus 로고    scopus 로고
    • Latent dirichlet allocation
    • D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent dirichlet allocation," JMLR, vol. 3, pp. 993-1022, 2003.
    • (2003) JMLR , vol.3 , pp. 993-1022
    • Blei, D.M.1    Ng, A.Y.2    Jordan, M.I.3
  • 51
    • 72249085330 scopus 로고    scopus 로고
    • Nus-wide: A real-world web image database from National University of Singapore
    • T.-S. Chua et al., "Nus-wide: A real-world web image database from National University of Singapore," in Proc. CIVR, 2009, pp. 48-56.
    • (2009) Proc. CIVR , pp. 48-56
    • Chua, T.-S.1
  • 52
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • Sep.
    • D. G. Lowe, "Object recognition from local scale-invariant features," in Proc. 7th IEEE Int. Conf. Comput. Vis., Sep. 1999, vol. 2, pp. 1150-1157.
    • (1999) Proc. 7th IEEE Int. Conf. Comput. Vis. , vol.2 , pp. 1150-1157
    • Lowe, D.G.1
  • 54
    • 80052874105 scopus 로고    scopus 로고
    • Iterative quantization: A procrustean approach to learning binary codes
    • Jun.
    • Y. Gong and S. Lazebnik, "Iterative quantization: A procrustean approach to learning binary codes," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., Jun. 2011, pp. 817-824.
    • (2011) Proc. IEEE Conf. Comput. Vis. Pattern Recog. , pp. 817-824
    • Gong, Y.1    Lazebnik, S.2
  • 55
    • 84901787656 scopus 로고    scopus 로고
    • Effective multi-modal retrieval based on stacked auto-encoders
    • W. Wang, B. C. Ooi, X. Yang, D. Zhang, and Y. Zhuang, "Effective multi-modal retrieval based on stacked auto-encoders," in Proc. PVLDB, 2014, pp. 649-660.
    • (2014) Proc. PVLDB , pp. 649-660
    • Wang, W.1    Ooi, B.C.2    Yang, X.3    Zhang, D.4    Zhuang, Y.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.