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Volumn 47, Issue 12, 2017, Pages 4014-4024

Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking

Author keywords

Deep learning; distance metric learning (DML); image ranking; multimodal

Indexed keywords

SEMANTICS;

EID: 84981725681     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCYB.2016.2591583     Document Type: Article
Times cited : (288)

References (62)
  • 1
    • 84978890802 scopus 로고    scopus 로고
    • Incremental hashing for semantic image retrieval in nonstationary environments
    • to be published
    • W. W. Y. Ng, X. Tian, Y. Lv, D. S. Yeung, and W. Pedrycz, "Incremental hashing for semantic image retrieval in nonstationary environments," IEEE Trans. Cybern., to be published, doi: 10.1109/TCYB.2016.2582530.
    • IEEE Trans. Cybern.
    • Ng, W.W.Y.1    Tian, X.2    Lv, Y.3    Yeung, D.S.4    Pedrycz, W.5
  • 2
    • 84978823414 scopus 로고    scopus 로고
    • Discriminative dictionary learning with two-level low rank and group sparse decomposition for image classification
    • to be published
    • Z. Wen, B. Hou, and L. Jiao, "Discriminative dictionary learning with two-level low rank and group sparse decomposition for image classification," IEEE Trans. Cybern., to be published, doi: 10.1109/TCYB.2016.2581861.
    • IEEE Trans. Cybern.
    • Wen, Z.1    Hou, B.2    Jiao, L.3
  • 3
    • 77956007413 scopus 로고    scopus 로고
    • Tag-based Web photo retrieval improved by batch mode re-tagging
    • San Francisco, CA, USA
    • L. Chen, D. Xu, I. W. Tsang, and J. Luo, "Tag-based Web photo retrieval improved by batch mode re-tagging," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., San Francisco, CA, USA, 2010, pp. 3440-3446.
    • (2010) Proc. IEEE Conf. Comput. Vis. Pattern Recognit. , pp. 3440-3446
    • Chen, L.1    Xu, D.2    Tsang, I.W.3    Luo, J.4
  • 4
    • 79953043001 scopus 로고    scopus 로고
    • Textual query of personal photos facilitated by large-scale Web data
    • May
    • Y. Liu, D. Xu, I. W. Tsang, and J. Luo, "Textual query of personal photos facilitated by large-scale Web data," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 5, pp. 1022-1036, May 2011.
    • (2011) IEEE Trans. Pattern Anal. Mach. Intell. , vol.33 , Issue.5 , pp. 1022-1036
    • Liu, Y.1    Xu, D.2    Tsang, I.W.3    Luo, J.4
  • 5
    • 74949118977 scopus 로고    scopus 로고
    • A boosting framework for visuality-preserving distance metric learning and its application to medical image retrieval
    • Jan.
    • L. Yang et al., "A boosting framework for visuality-preserving distance metric learning and its application to medical image retrieval," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 1, pp. 30-44, Jan. 2010.
    • (2010) IEEE Trans. Pattern Anal. Mach. Intell. , vol.32 , Issue.1 , pp. 30-44
    • Yang, L.1
  • 6
    • 33745130042 scopus 로고    scopus 로고
    • Content-based multimedia information retrieval: State of the art and challenges
    • Feb.
    • M. S. Lew, N. Sebe, C. Djeraba, and R. Jain, "Content-based multimedia information retrieval: State of the art and challenges," ACM Trans. Multimedia Comput. Commun. Appl., vol. 2, no. 1, pp. 1-19, Feb. 2006.
    • (2006) ACM Trans. Multimedia Comput. Commun. Appl. , vol.2 , Issue.1 , pp. 1-19
    • Lew, M.S.1    Sebe, N.2    Djeraba, C.3    Jain, R.4
  • 7
    • 84927732736 scopus 로고    scopus 로고
    • A ranking approach on large-scale graph with multidimensional heterogeneous information
    • Apr.
    • W. Wei et al., "A ranking approach on large-scale graph with multidimensional heterogeneous information," IEEE Trans. Cybern., vol. 46, no. 4, pp. 930-944, Apr. 2016.
    • (2016) IEEE Trans. Cybern. , vol.46 , Issue.4 , pp. 930-944
    • Wei, W.1
  • 8
    • 78650977486 scopus 로고    scopus 로고
    • Image tag refinement towards lowrank, content-tag prior and error sparsity
    • Florence, Italy
    • G. Zhu, S. Yan, and Y. Ma, "Image tag refinement towards lowrank, content-tag prior and error sparsity," in Proc. ACM Int. Conf. Multimedia, Florence, Italy, 2010, pp. 461-470.
    • (2010) Proc. ACM Int. Conf. Multimedia , pp. 461-470
    • Zhu, G.1    Yan, S.2    Ma, Y.3
  • 10
    • 0003598912 scopus 로고    scopus 로고
    • Content-based image retrieval systems: A survey
    • Utrecht, The Netherlands, Tech. Rep. TR-UU-CS-2000-34
    • R. Veltkamp and M. Tanase, "Content-based image retrieval systems: A survey," Dept. Comput. Sci., Utrecht Univ., Utrecht, The Netherlands, Tech. Rep. TR-UU-CS-2000-34, 2000.
    • (2000) Dept. Comput. Sci., Utrecht Univ.
    • Veltkamp, R.1    Tanase, M.2
  • 11
    • 0029375609 scopus 로고
    • Query by image and video content: The QBIC system
    • Sep.
    • M. Flickner et al., "Query by image and video content: The QBIC system," Computer, vol. 28, no. 9, pp. 23-32, Sep. 1995.
    • (1995) Computer , vol.28 , Issue.9 , pp. 23-32
    • Flickner, M.1
  • 12
    • 0029754086 scopus 로고    scopus 로고
    • Virage image search engine: An open framework for image management
    • San Jose, CA, USA
    • J. Bach et al., "Virage image search engine: An open framework for image management," in Proc. Stor. Retrieval Image Video Databases, San Jose, CA, USA, 1996, pp. 76-87.
    • (1996) Proc. Stor. Retrieval Image Video Databases , pp. 76-87
    • Bach, J.1
  • 13
    • 0030167884 scopus 로고    scopus 로고
    • Photobook: Content-based manipulation of image databases
    • A. Pentland, R. W. Picard, and S. Sclaroff, "Photobook: Content-based manipulation of image databases," Int. J. Comput. Vis., vol. 18, no. 3, pp. 233-254, 1996.
    • (1996) Int. J. Comput. Vis. , vol.18 , Issue.3 , pp. 233-254
    • Pentland, A.1    Picard, R.W.2    Sclaroff, S.3
  • 15
    • 72449130482 scopus 로고    scopus 로고
    • Distance metric learning from uncertain side information with application to automated photo tagging
    • Scottsdale, AZ, USA
    • L. Wu, S. C. H. Hoi, R. Jin, J. Zhu, and N. Yu, "Distance metric learning from uncertain side information with application to automated photo tagging," in Proc. ACM Int. Conf. Multimedia, Scottsdale, AZ, USA, 2009, pp. 135-144.
    • (2009) Proc. ACM Int. Conf. Multimedia , pp. 135-144
    • Wu, L.1    Hoi, S.C.H.2    Jin, R.3    Zhu, J.4    Yu, N.5
  • 16
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • D. G. Lowe, "Object recognition from local scale-invariant features," in Proc. IEEE Int. Conf. Comput. Vis., 1999, pp. 1150-1157.
    • (1999) Proc. IEEE Int. Conf. Comput. Vis. , pp. 1150-1157
    • Lowe, D.G.1
  • 17
    • 77953694643 scopus 로고    scopus 로고
    • Semantics-preserving bag-of-words models and applications
    • Jul.
    • L. Wu, S. C. H. Hoi, and N. Yu, "Semantics-preserving bag-of-words models and applications," IEEE Trans. Image Process., vol. 19, no. 7, pp. 1908-1920, Jul. 2010.
    • (2010) IEEE Trans. Image Process. , vol.19 , Issue.7 , pp. 1908-1920
    • Wu, L.1    Hoi, S.C.H.2    Yu, N.3
  • 18
    • 84896968081 scopus 로고    scopus 로고
    • Discriminative object tracking via sparse representation and online dictionary learning
    • Apr.
    • Y. Xie et al., "Discriminative object tracking via sparse representation and online dictionary learning," IEEE Trans. Cybern., vol. 44, no. 4, pp. 539-553, Apr. 2014.
    • (2014) IEEE Trans. Cybern. , vol.44 , Issue.4 , pp. 539-553
    • Xie, Y.1
  • 19
    • 84961083586 scopus 로고    scopus 로고
    • Spectral multimodal hashing and its application to multimedia retrieval
    • Jan.
    • Y. Zhen, Y. Gao, D.-Y. Yeung, H. Zha, and X. Li, "Spectral multimodal hashing and its application to multimedia retrieval," IEEE Trans. Cybern., vol. 46, no. 1, pp. 27-38, Jan. 2016.
    • (2016) IEEE Trans. Cybern. , vol.46 , Issue.1 , pp. 27-38
    • Zhen, Y.1    Gao, Y.2    Yeung, D.-Y.3    Zha, H.4    Li, X.5
  • 20
    • 33749257955 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification
    • Vancouver, BC, Canada
    • K. Q. Weinberger, J. Blitzer, and L. K. Saul, "Distance metric learning for large margin nearest neighbor classification," in Proc. Adv. Neural Inf. Process. Syst., Vancouver, BC, Canada, 2006, pp. 1473-1480.
    • (2006) Proc. Adv. Neural Inf. Process. Syst. , pp. 1473-1480
    • Weinberger, K.Q.1    Blitzer, J.2    Saul, L.K.3
  • 21
    • 84863020215 scopus 로고    scopus 로고
    • Learning a mixture of sparse distance metrics for classification and dimensionality reduction
    • Barcelona, Spain
    • Y. Hong, Q. Li, J. Jiang, and Z. Tu, "Learning a mixture of sparse distance metrics for classification and dimensionality reduction," in Proc. IEEE Int. Conf. Comput. Vis., Barcelona, Spain, 2011, pp. 906-913.
    • (2011) Proc. IEEE Int. Conf. Comput. Vis. , pp. 906-913
    • Hong, Y.1    Li, Q.2    Jiang, J.3    Tu, Z.4
  • 22
    • 84929017951 scopus 로고    scopus 로고
    • Learning a Mahalanobis distance-based dynamic time warping measure for multivariate time series classification
    • Jun.
    • J. Mei, M. Liu, Y.-F. Wang, and H. Gao, "Learning a Mahalanobis distance-based dynamic time warping measure for multivariate time series classification," IEEE Trans. Cybern., vol. 46, no. 6, pp. 1363-1374, Jun. 2016.
    • (2016) IEEE Trans. Cybern. , vol.46 , Issue.6 , pp. 1363-1374
    • Mei, J.1    Liu, M.2    Wang, Y.-F.3    Gao, H.4
  • 23
    • 84960396045 scopus 로고    scopus 로고
    • Evidential matrix metrics as distances between meta-data dependent bodies of evidence
    • Jan.
    • M. Loudahi, J. Klein, J.-M. Vannobel, and O. Colot, "Evidential matrix metrics as distances between meta-data dependent bodies of evidence," IEEE Trans. Cybern., vol. 46, no. 1, pp. 109-122, Jan. 2016.
    • (2016) IEEE Trans. Cybern. , vol.46 , Issue.1 , pp. 109-122
    • Loudahi, M.1    Klein, J.2    Vannobel, J.-M.3    Colot, O.4
  • 24
    • 77956006653 scopus 로고    scopus 로고
    • Multimodal semisupervised learning for image classification
    • San Francisco, CA, USA
    • M. Guillaumin, J. Verbeek, and C. Schmid, "Multimodal semisupervised learning for image classification," in Proc. CVPR, San Francisco, CA, USA, 2010, pp. 902-909.
    • (2010) Proc. CVPR , pp. 902-909
    • Guillaumin, M.1    Verbeek, J.2    Schmid, C.3
  • 25
    • 78650977832 scopus 로고    scopus 로고
    • S3MKL: Scalable semisupervised multiple kernel learning for image data mining
    • Florence, Italy
    • S. Wang, S. Jiang, Q. Huang, and Q. Tian, "S3MKL: Scalable semisupervised multiple kernel learning for image data mining," in Proc. MM, Florence, Italy, 2010, pp. 163-172.
    • (2010) Proc. MM , pp. 163-172
    • Wang, S.1    Jiang, S.2    Huang, Q.3    Tian, Q.4
  • 26
    • 84923658744 scopus 로고    scopus 로고
    • Block-row sparse multiview multilabel learning for image classification
    • Feb.
    • X. Zhu, X. Li, and S. Zhang, "Block-row sparse multiview multilabel learning for image classification," IEEE Trans. Cybern., vol. 46, no. 2, pp. 450-461, Feb. 2016.
    • (2016) IEEE Trans. Cybern. , vol.46 , Issue.2 , pp. 450-461
    • Zhu, X.1    Li, X.2    Zhang, S.3
  • 27
    • 84971408206 scopus 로고    scopus 로고
    • Low-rank discriminant embedding for multiview learning
    • to be published
    • J. Li, Y. Wu, J. Zhao, and K. Lu, "Low-rank discriminant embedding for multiview learning," IEEE Trans. Cybern., to be published, doi: 10.1109/TCYB.2016.2565898.
    • IEEE Trans. Cybern.
    • Li, J.1    Wu, Y.2    Zhao, J.3    Lu, K.4
  • 29
    • 84948382785 scopus 로고    scopus 로고
    • DeepID-Net: Deformable deep convolutional neural networks for object detection
    • Boston, MA, USA
    • W. Ouyang et al., "DeepID-Net: Deformable deep convolutional neural networks for object detection," in Proc. CVPR, Boston, MA, USA, 2015, pp. 2403-2412.
    • (2015) Proc. CVPR , pp. 2403-2412
    • Ouyang, W.1
  • 30
    • 84959240338 scopus 로고    scopus 로고
    • Efficient object localization using convolutional networks
    • Boston, MA, USA
    • J. Tompson, R. Goroshin, A. Jain, Y. LeCun, and C. Bregler, "Efficient object localization using convolutional networks," in Proc. CVPR, Boston, MA, USA, 2015, pp. 648-656.
    • (2015) Proc. CVPR , pp. 648-656
    • Tompson, J.1    Goroshin, R.2    Jain, A.3    LeCun, Y.4    Bregler, C.5
  • 31
    • 84937522268 scopus 로고    scopus 로고
    • Going deeper with convolutions
    • Boston, MA, USA
    • C. Szegedy et al., "Going deeper with convolutions," in Proc. CVPR, Boston, MA, USA, 2015, pp. 1-9.
    • (2015) Proc. CVPR , pp. 1-9
    • Szegedy, C.1
  • 32
  • 33
    • 84911459575 scopus 로고    scopus 로고
    • Discriminative deep metric learning for face verification in the wild
    • Columbus, OH, USA
    • J. Hu, J. Lu, and Y.-P. Tan, "Discriminative deep metric learning for face verification in the wild," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Columbus, OH, USA, 2014, pp. 1875-1882.
    • (2014) Proc. IEEE Conf. Comput. Vis. Pattern Recognit. , pp. 1875-1882
    • Hu, J.1    Lu, J.2    Tan, Y.-P.3
  • 36
    • 84960969688 scopus 로고    scopus 로고
    • Stacked convolutional denoising auto-encoders for feature representation
    • to be published
    • B. Du et al., "Stacked convolutional denoising auto-encoders for feature representation," IEEE Trans. Cybern., to be published, doi: 10.1109/TCYB.2016.2536638.
    • IEEE Trans. Cybern.
    • Du, B.1
  • 37
    • 77950921696 scopus 로고    scopus 로고
    • A model to estimate intrinsic document relevance from the clickthrough logs of a Web search engine
    • New York, NY, USA
    • G. Dupret and C. Liao, "A model to estimate intrinsic document relevance from the clickthrough logs of a Web search engine," in Proc. ACM Int. Conf. Web Search Data Min., New York, NY, USA, 2010, pp. 181-190.
    • (2010) Proc. ACM Int. Conf. Web Search Data Min. , pp. 181-190
    • Dupret, G.1    Liao, C.2
  • 38
    • 84883971467 scopus 로고    scopus 로고
    • Evaluating implicit judgments from image search interactions
    • Athens, Greece
    • G. Smith and H. Ashman, "Evaluating implicit judgments from image search interactions," in Proc. Web Sci. Conf. Soc. On-Line, Athens, Greece, 2009, pp. 1-3.
    • (2009) Proc. Web Sci. Conf. Soc. On-Line , pp. 1-3
    • Smith, G.1    Ashman, H.2
  • 39
    • 41849098099 scopus 로고    scopus 로고
    • Investigating the effectiveness of clickthrough data for document reordering
    • Glasgow, U.K.
    • M. Shokouhi, F. Scholer, and A. Turpin, "Investigating the effectiveness of clickthrough data for document reordering," in Proc. Eur. Conf. Inf. Retrieval, Glasgow, U.K., 2008, pp. 591-595.
    • (2008) Proc. Eur. Conf. Inf. Retrieval , pp. 591-595
    • Shokouhi, M.1    Scholer, F.2    Turpin, A.3
  • 40
    • 0242456822 scopus 로고    scopus 로고
    • Optimizing search engines using clickthrough data
    • Edmonton, AB, Canada
    • T. Joachims, "Optimizing search engines using clickthrough data," in Proc. ACM SIGKDD Int. Conf. Knowl. Disc. Data Min., Edmonton, AB, Canada, 2002, pp. 133-142.
    • (2002) Proc. ACM SIGKDD Int. Conf. Knowl. Disc. Data Min. , pp. 133-142
    • Joachims, T.1
  • 41
    • 69249119464 scopus 로고    scopus 로고
    • Learning to rank for information retrieval
    • T.-Y. Liu, "Learning to rank for information retrieval," Found. Trends Inf. Retrieval, vol. 3, no. 3, pp. 225-331, 2009.
    • (2009) Found. Trends Inf. Retrieval , vol.3 , Issue.3 , pp. 225-331
    • Liu, T.-Y.1
  • 42
    • 55349114379 scopus 로고    scopus 로고
    • Statistical analysis of Bayes optimal subset ranking
    • Nov.
    • D. Cossock and T. Zhang, "Statistical analysis of Bayes optimal subset ranking," IEEE Trans. Inf. Theory, vol. 54, no. 11, pp. 5140-5154, Nov. 2008.
    • (2008) IEEE Trans. Inf. Theory , vol.54 , Issue.11 , pp. 5140-5154
    • Cossock, D.1    Zhang, T.2
  • 43
    • 70349085027 scopus 로고    scopus 로고
    • Are click-through data adequate for learning Web search rankings?
    • Napa County, CA, USA
    • Z. Dou, R. Song, X. Yuan, and J.-R. Wen, "Are click-through data adequate for learning Web search rankings?" in Proc. ACM Conf. Inf. Knowl. Manag., Napa County, CA, USA, 2008, pp. 73-82.
    • (2008) Proc. ACM Conf. Inf. Knowl. Manag. , pp. 73-82
    • Dou, Z.1    Song, R.2    Yuan, X.3    Wen, J.-R.4
  • 44
    • 36448966738 scopus 로고    scopus 로고
    • Random walks on the click graph
    • Amsterdam, The Netherlands
    • N. Craswell and M. Szummer, "Random walks on the click graph," in Proc. SIGIR, Amsterdam, The Netherlands, 2007, pp. 239-246.
    • (2007) Proc. SIGIR , pp. 239-246
    • Craswell, N.1    Szummer, M.2
  • 45
    • 84873446939 scopus 로고    scopus 로고
    • Learning to re-rank: Query-dependent image re-ranking using click data
    • Hyderabad, India
    • V. Jain and M. Varma, "Learning to re-rank: Query-dependent image re-ranking using click data," in Proc. Int. World Wide Web Conf., Hyderabad, India, 2011, pp. 277-286.
    • (2011) Proc. Int. World Wide Web Conf. , pp. 277-286
    • Jain, V.1    Varma, M.2
  • 46
    • 84904538400 scopus 로고    scopus 로고
    • Click-through-based cross-view learning for image search
    • Gold Coast, QLD, Australia
    • Y. Pan et al., "Click-through-based cross-view learning for image search," in Proc. 22nd ACM Int. Conf. Res. Develop. Inf. Retrieval, Gold Coast, QLD, Australia, 2014, pp. 717-726.
    • (2014) Proc. 22nd ACM Int. Conf. Res. Develop. Inf. Retrieval , pp. 717-726
    • Pan, Y.1
  • 47
    • 84959554963 scopus 로고    scopus 로고
    • Visually interpreting names as demographic attributes by exploiting click-through data
    • Austin, TX, USA
    • Y.-Y. Chen, Y.-H. Kuo, C.-C. Wu, and W. Hsu, "Visually interpreting names as demographic attributes by exploiting click-through data," in Proc. AAAI, Austin, TX, USA, 2015, pp. 44-50.
    • (2015) Proc. AAAI , pp. 44-50
    • Chen, Y.-Y.1    Kuo, Y.-H.2    Wu, C.-C.3    Hsu, W.4
  • 49
    • 33845594193 scopus 로고    scopus 로고
    • Learning distance metrics with contextual constraints for image retrieval
    • New York, NY, USA
    • S. C. H. Hoi, W. Liu, M. R. Lyu, and W.-Y. Ma, "Learning distance metrics with contextual constraints for image retrieval," in Proc. Comput. Vis. Pattern Recognit., New York, NY, USA, 2006, pp. 2072-2078.
    • (2006) Proc. Comput. Vis. Pattern Recognit. , pp. 2072-2078
    • Hoi, S.C.H.1    Liu, W.2    Lyu, M.R.3    Ma, W.-Y.4
  • 50
    • 24944537843 scopus 로고    scopus 로고
    • Large margin methods for structured and interdependent output variables
    • Sep.
    • I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun, "Large margin methods for structured and interdependent output variables," J. Mach. Learn. Res., vol. 6, pp. 1453-1484, Sep. 2005.
    • (2005) J. Mach. Learn. Res. , vol.6 , pp. 1453-1484
    • Tsochantaridis, I.1    Joachims, T.2    Hofmann, T.3    Altun, Y.4
  • 52
    • 84960110063 scopus 로고    scopus 로고
    • Structural atomic representation for classification
    • Dec.
    • Y. Y. Tang, Y. Wang, L. Li, and C. L. P. Chen, "Structural atomic representation for classification," IEEE Trans. Cybern., vol. 45, no. 12, pp. 2905-2913, Dec. 2015.
    • (2015) IEEE Trans. Cybern. , vol.45 , Issue.12 , pp. 2905-2913
    • Tang, Y.Y.1    Wang, Y.2    Li, L.3    Chen, C.L.P.4
  • 54
    • 84960130998 scopus 로고    scopus 로고
    • Content-based visual landmark search via multimodal hypergraph learning
    • Dec.
    • L. Zhu, J. Shen, H. Jin, R. Zheng, and L. Xie, "Content-based visual landmark search via multimodal hypergraph learning," IEEE Trans. Cybern., vol. 45, no. 12, pp. 2756-2769, Dec. 2015.
    • (2015) IEEE Trans. Cybern. , vol.45 , Issue.12 , pp. 2756-2769
    • Zhu, L.1    Shen, J.2    Jin, H.3    Zheng, R.4    Xie, L.5
  • 55
    • 84961933000 scopus 로고    scopus 로고
    • Positive and unlabeled multi-graph learning
    • to be published
    • J. Wu, S. Pan, X. Zhu, C. Zhang, and X. Wu, "Positive and unlabeled multi-graph learning," IEEE Trans. Cybern., to be published, doi: 10.1109/TCYB.2016.2527239.
    • IEEE Trans. Cybern.
    • Wu, J.1    Pan, S.2    Zhu, X.3    Zhang, C.4    Wu, X.5
  • 56
    • 69349090197 scopus 로고    scopus 로고
    • Learning deep architectures for AI
    • Y. Bengio, "Learning deep architectures for AI," Found. Trends Mach. Learn., vol. 2, no. 1, pp. 1-127, 2009.
    • (2009) Found. Trends Mach. Learn. , vol.2 , Issue.1 , pp. 1-127
    • Bengio, Y.1
  • 57
    • 14344250451 scopus 로고    scopus 로고
    • Support vector machine learning for interdependent and structured output spaces
    • Banff, AB, Canada
    • I. Tsochantaridis, T. Hofmann, T. Joachims, and Y. Altun, "Support vector machine learning for interdependent and structured output spaces," in Proc. Int. Mach. Learn. Conf., Banff, AB, Canada, 2004, pp. 823-830.
    • (2004) Proc. Int. Mach. Learn. Conf. , pp. 823-830
    • Tsochantaridis, I.1    Hofmann, T.2    Joachims, T.3    Altun, Y.4
  • 58
    • 33749563073 scopus 로고    scopus 로고
    • Training linear SVMs in linear time
    • Philadelphia, PA, USA
    • T. Joachims, "Training linear SVMs in linear time," in Proc. ACM Conf. Knowl. Disc. Data Min., Philadelphia, PA, USA, 2006, pp. 217-226.
    • (2006) Proc. ACM Conf. Knowl. Disc. Data Min. , pp. 217-226
    • Joachims, T.1
  • 59
    • 84867860164 scopus 로고    scopus 로고
    • Multimodal graph-based reranking for Web image search
    • Nov.
    • M. Wang, H. Li, D. Tao, K. Lu, and X. Wu, "Multimodal graph-based reranking for Web image search," IEEE Trans. Image Process., vol. 21, no. 11, pp. 4649-4661, Nov. 2012.
    • (2012) IEEE Trans. Image Process. , vol.21 , Issue.11 , pp. 4649-4661
    • Wang, M.1    Li, H.2    Tao, D.3    Lu, K.4    Wu, X.5
  • 60
    • 85035805620 scopus 로고    scopus 로고
    • [Online]
    • Microsoft. (2014). MSR-Bing Image Retrieval Challenge. [Online]. Available: http://research.microsoft.com/en-us/projects/irc/
    • (2014) MSR-Bing Image Retrieval Challenge
  • 61
    • 84864027458 scopus 로고    scopus 로고
    • Learning with hypergraphs: Clustering, classification, and embedding
    • Vancouver, BC, Canada
    • D. Zhou, J. Huang, and B. Schölkopf, "Learning with hypergraphs: Clustering, classification, and embedding," in Proc. Adv. Neural Inf. Process. Syst., Vancouver, BC, Canada, 2006, pp. 1601-1608.
    • (2006) Proc. Adv. Neural Inf. Process. Syst. , pp. 1601-1608
    • Zhou, D.1    Huang, J.2    Schölkopf, B.3
  • 62
    • 1842637192 scopus 로고    scopus 로고
    • Cumulated gain-based evaluation of IR techniques
    • Oct.
    • K. Järvelin and J. Kekäläinen, "Cumulated gain-based evaluation of IR techniques," ACM Trans. Inf. Syst., vol. 20, no. 4, pp. 422-446, Oct. 2002.
    • (2002) ACM Trans. Inf. Syst. , vol.20 , Issue.4 , pp. 422-446
    • Järvelin, K.1    Kekäläinen, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.