메뉴 건너뛰기




Volumn 25, Issue 3, 2016, Pages 1495-1507

Local Rademacher Complexity for Multi-Label Learning

Author keywords

local Rademacher complexity; Multi label learning

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; LEARNING SYSTEMS; OPTIMIZATION; VIRTUAL REALITY;

EID: 84962777544     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2016.2524207     Document Type: Article
Times cited : (94)

References (66)
  • 1
    • 84897109377 scopus 로고    scopus 로고
    • A review on multi-label learning algorithms
    • Aug.
    • M.-L. Zhang and Z.-H. Zhou, "A review on multi-label learning algorithms, " IEEE Trans. Knowl. Data Eng., vol. 26, no. 8, pp. 1819-1837, Aug. 2014.
    • (2014) IEEE Trans. Knowl. Data Eng , vol.26 , Issue.8 , pp. 1819-1837
    • Zhang, M.-L.1    Zhou, Z.-H.2
  • 2
    • 14344255188 scopus 로고    scopus 로고
    • A MFoM learning approach to robust multiclass multi-label text categorization
    • S. Gao, W. Wu, C.-H. Lee, and T.-S. Chua, "A MFoM learning approach to robust multiclass multi-label text categorization, " in Proc. 21st Int. Conf. Mach. Learn., 2004, p. 42.
    • (2004) Proc. 21st Int. Conf. Mach. Learn. , pp. 42
    • Gao, S.1    Wu, W.2    Lee, C.-H.3    Chua, T.-S.4
  • 3
    • 84859075572 scopus 로고    scopus 로고
    • Semantic-gap-oriented active learning for multilabel image annotation
    • Apr.
    • J. Tang, Z.-J. Zha, D. Tao, and T.-S. Chua, "Semantic-gap-oriented active learning for multilabel image annotation, " IEEE Trans. Image Process., vol. 21, no. 4, pp. 2354-2360, Apr. 2012.
    • (2012) IEEE Trans. Image Process , vol.21 , Issue.4 , pp. 2354-2360
    • Tang, J.1    Zha, Z.-J.2    Tao, D.3    Chua, T.-S.4
  • 4
    • 84893849940 scopus 로고    scopus 로고
    • Multi-label image categorization with sparse factor representation
    • Mar.
    • F. Sun, J. Tang, H. Li, G.-J. Qi, and T. S. Huang, "Multi-label image categorization with sparse factor representation, " IEEE Trans. Image Process., vol. 23, no. 3, pp. 1028-1037, Mar. 2014.
    • (2014) IEEE Trans. Image Process , vol.23 , Issue.3 , pp. 1028-1037
    • Sun, F.1    Tang, J.2    Li, H.3    Qi, G.-J.4    Huang, T.S.5
  • 5
    • 79951846242 scopus 로고    scopus 로고
    • Structured max-margin learning for inter-related classifier training and multilabel image annotation
    • Mar.
    • J. Fan, Y. Shen, C. Yang, and N. Zhou, "Structured max-margin learning for inter-related classifier training and multilabel image annotation, " IEEE Trans. Image Process., vol. 20, no. 3, pp. 837-854, Mar. 2011.
    • (2011) IEEE Trans. Image Process , vol.20 , Issue.3 , pp. 837-854
    • Fan, J.1    Shen, Y.2    Yang, C.3    Zhou, N.4
  • 6
    • 84930951838 scopus 로고    scopus 로고
    • Robust structured subspace learning for data representation
    • Oct.
    • Z. Li, J. Liu, J. Tang, and H. Lu, "Robust structured subspace learning for data representation, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 37, no. 10, pp. 2085-2098, Oct. 2015.
    • (2015) IEEE Trans. Pattern Anal. Mach. Intell , vol.37 , Issue.10 , pp. 2085-2098
    • Li, Z.1    Liu, J.2    Tang, J.3    Lu, H.4
  • 7
    • 84930965536 scopus 로고    scopus 로고
    • Neighborhood discriminant hashing for large-scale image retrieval
    • Sep.
    • J. Tang, Z. Li, M. Wang, and R. Zhao, "Neighborhood discriminant hashing for large-scale image retrieval, " IEEE Trans. Image Process., vol. 24, no. 9, pp. 2827-2840, Sep. 2015.
    • (2015) IEEE Trans. Image Process , vol.24 , Issue.9 , pp. 2827-2840
    • Tang, J.1    Li, Z.2    Wang, M.3    Zhao, R.4
  • 8
    • 84893836262 scopus 로고    scopus 로고
    • Sparse label-indicator optimization methods for image classification
    • Mar.
    • L. Jing and M. K. Ng, "Sparse label-indicator optimization methods for image classification, " IEEE Trans. Image Process., vol. 23, no. 3, pp. 1002-1014, Mar. 2014.
    • (2014) IEEE Trans. Image Process , vol.23 , Issue.3 , pp. 1002-1014
    • Jing, L.1    Ng, M.K.2
  • 9
    • 33645323768 scopus 로고    scopus 로고
    • Hierarchical multi-label prediction of gene function
    • Jan.
    • Z. Barutcuoglu, R. E. Schapire, and O. G. Troyanskaya, "Hierarchical multi-label prediction of gene function, " Bioinformatics, vol. 22, no. 7, pp. 830-836, Jan. 2006.
    • (2006) Bioinformatics , vol.22 , Issue.7 , pp. 830-836
    • Barutcuoglu, Z.1    Schapire, R.E.2    Troyanskaya, O.G.3
  • 11
    • 83155175374 scopus 로고    scopus 로고
    • Classifier chains for multi-label classification
    • Dec.
    • J. Read, B. Pfahringer, G. Holmes, and E. Frank, "Classifier chains for multi-label classification, " J. Mach. Learn., vol. 85, no. 3, pp. 333-359, Dec. 2011.
    • (2011) J. Mach. Learn , vol.85 , Issue.3 , pp. 333-359
    • Read, J.1    Pfahringer, B.2    Holmes, G.3    Frank, E.4
  • 14
    • 84896063365 scopus 로고    scopus 로고
    • Probabilistic multi-label classification with sparse feature learning
    • Y. Guo and W. Xue, "Probabilistic multi-label classification with sparse feature learning, " in Proc. 23rd Int. Joint Conf. Artif. Intell., 2013, pp. 1373-1379.
    • (2013) Proc. 23rd Int. Joint Conf. Artif. Intell. , pp. 1373-1379
    • Guo, Y.1    Xue, W.2
  • 15
    • 84962641700 scopus 로고    scopus 로고
    • Multi-label learning by exploiting label correlations locally
    • S.-J. Huang, Z.-H. Zhou, and Z. Zhou, "Multi-label learning by exploiting label correlations locally, " in Proc. AAAI, 2012, pp. 1-7.
    • (2012) Proc. AAAI , pp. 1-7
    • Huang, S.-J.1    Zhou, Z.-H.2    Zhou, Z.3
  • 16
    • 84908151895 scopus 로고    scopus 로고
    • Multilabel classification with label correlations and missing labels
    • W. Bi and J. T. Kwok, "Multilabel classification with label correlations and missing labels, " in Proc. AAAI Conf. Artif. Intell. (AAAI), 2014, pp. 1680-1686.
    • (2014) Proc. AAAI Conf. Artif. Intell. (AAAI) , pp. 1680-1686
    • Bi, W.1    Kwok, J.T.2
  • 17
    • 84877784525 scopus 로고    scopus 로고
    • Feature-aware label space dimension reduction for multi-label classification
    • Y.-N. Chen and H.-T. Lin, "Feature-aware label space dimension reduction for multi-label classification, " in Proc. Adv. Neural Inf. Process. Syst., 2012, pp. 1529-1537.
    • (2012) Proc. Adv. Neural Inf. Process. Syst. , pp. 1529-1537
    • Chen, Y.-N.1    Lin, H.-T.2
  • 18
    • 84867116137 scopus 로고    scopus 로고
    • Multilabel classification with principal label space transformation
    • F. Tai and H.-T. Lin, "Multilabel classification with principal label space transformation, " Neural Comput., vol. 24, no. 9, pp. 2508-2542, 2012.
    • (2012) Neural Comput , vol.24 , Issue.9 , pp. 2508-2542
    • Tai, F.1    Lin, H.-T.2
  • 21
    • 84897712481 scopus 로고    scopus 로고
    • Multilabel image classification via high-order label correlation driven active learning
    • Mar.
    • B. Zhang, Y. Wang, and F. Chen, "Multilabel image classification via high-order label correlation driven active learning, " IEEE Trans. Image Process., vol. 23, no. 3, pp. 1430-1441, Mar. 2014.
    • (2014) IEEE Trans. Image Process , vol.23 , Issue.3 , pp. 1430-1441
    • Zhang, B.1    Wang, Y.2    Chen, F.3
  • 22
    • 0038453192 scopus 로고    scopus 로고
    • Rademacher and Gaussian complexities: Risk bounds and structural results
    • Mar.
    • P. L. Bartlett and S. Mendelson, "Rademacher and Gaussian complexities: Risk bounds and structural results, " J. Mach. Learn. Res., vol. 3, pp. 463-482, Mar. 2003.
    • (2003) J. Mach. Learn. Res , vol.3 , pp. 463-482
    • Bartlett, P.L.1    Mendelson, S.2
  • 25
    • 26444592981 scopus 로고    scopus 로고
    • Local rademacher complexities
    • Aug.
    • P. L. Bartlett, O. Bousquet, and S. Mendelson, "Local rademacher complexities, " Ann. Statist., vol. 3, no. 4, pp. 1497-1537, Aug. 2005.
    • (2005) Ann. Statist , vol.3 , Issue.4 , pp. 1497-1537
    • Bartlett, P.L.1    Bousquet, O.2    Mendelson, S.3
  • 26
    • 0033905095 scopus 로고    scopus 로고
    • BoosTexter: A boosting-based system for text categorization
    • May
    • R. E. Schapire and Y. Singer, "BoosTexter: A boosting-based system for text categorization, " Mach. Learn., vol. 39, nos. 2-3, pp. 135-168, May 2000.
    • (2000) Mach. Learn , vol.39 , Issue.2-3 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 28
    • 33947681316 scopus 로고    scopus 로고
    • ML-KNN: A lazy learning approach to multi-label learning
    • Jul.
    • M.-L. Zhang and Z.-H. Zhou, "ML-KNN: A lazy learning approach to multi-label learning, " Pattern Recognit., vol. 40, no. 7, pp. 2038-2048, Jul. 2007.
    • (2007) Pattern Recognit , vol.40 , Issue.7 , pp. 2038-2048
    • Zhang, M.-L.1    Zhou, Z.-H.2
  • 30
    • 79952402835 scopus 로고    scopus 로고
    • Image annotation by kNN-sparse graph-based label propagation over noisily tagged Web images
    • Feb.
    • J. Tang, R. Hong, S. Yan, T.-S. Chua, G.-J. Qi, and R. Jain, "Image annotation by kNN-sparse graph-based label propagation over noisily tagged Web images, " ACM Trans. Intell. Syst. Technol., vol. 2, no. 2, p. 14, Feb. 2011.
    • (2011) ACM Trans. Intell. Syst. Technol , vol.2 , Issue.2 , pp. 14
    • Tang, J.1    Hong, R.2    Yan, S.3    Chua, T.-S.4    Qi, G.-J.5    Jain, R.6
  • 31
    • 84943242305 scopus 로고    scopus 로고
    • Knowledge discovery in multi-label phenotype data
    • Berlin, Germany: Springer
    • A. Clare and R. D. King, "Knowledge discovery in multi-label phenotype data, " in Principles of Data Mining and Knowledge Discovery. Berlin, Germany: Springer, 2001, pp. 42-53.
    • (2001) Principles of Data Mining and Knowledge Discovery , pp. 42-53
    • Clare, A.1    King, R.D.2
  • 32
    • 52949141834 scopus 로고    scopus 로고
    • Decision trees for hierarchical multi-label classification
    • Nov.
    • C. Vens, J. Struyf, L. Schietgat, S. Džeroski, and H. Blockeel, "Decision trees for hierarchical multi-label classification, " Mach. Learn., vol. 73, no. 2, pp. 185-214, Nov. 2008.
    • (2008) Mach. Learn , vol.73 , Issue.2 , pp. 185-214
    • Vens, C.1    Struyf, J.2    Schietgat, L.3    Džeroski, S.4    Blockeel, H.5
  • 33
    • 80053440655 scopus 로고    scopus 로고
    • Multi-label classification on tree-and DAGstructured hierarchies
    • W. Bi and J. T. Kwok, "Multi-label classification on tree-and DAGstructured hierarchies, " in Proc. 28th Int. Conf. Mach. Learn. (ICML), 2011, pp. 17-24.
    • (2011) Proc. 28th Int. Conf. Mach. Learn. (ICML) , pp. 17-24
    • Bi, W.1    Kwok, J.T.2
  • 34
    • 0142228873 scopus 로고    scopus 로고
    • A family of additive online algorithms for category ranking
    • Mar.
    • K. Crammer and Y. Singer, "A family of additive online algorithms for category ranking, " J. Mach. Learn. Res., vol. 3, pp. 1025-1058, Mar. 2003.
    • (2003) J. Mach. Learn. Res , vol.3 , pp. 1025-1058
    • Crammer, K.1    Singer, Y.2
  • 35
    • 33748366796 scopus 로고    scopus 로고
    • Multilabel neural networks with applications to functional genomics and text categorization
    • Oct.
    • M.-L. Zhang and Z.-H. Zhou, "Multilabel neural networks with applications to functional genomics and text categorization, " IEEE Trans. Knowl. Data Eng., vol. 18, no. 10, pp. 1338-1351, Oct. 2006.
    • (2006) IEEE Trans. Knowl. Data Eng , vol.18 , Issue.10 , pp. 1338-1351
    • Zhang, M.-L.1    Zhou, Z.-H.2
  • 38
    • 3042597440 scopus 로고    scopus 로고
    • Learning multi-label scene classification
    • Sep.
    • M. R. Boutell, J. Luo, X. Shen, and C. M. Brown, "Learning multi-label scene classification, " Pattern Recognit., vol. 37, no. 9, pp. 1757-1771, Sep. 2004.
    • (2004) Pattern Recognit , vol.37 , Issue.9 , pp. 1757-1771
    • Boutell, M.R.1    Luo, J.2    Shen, X.3    Brown, C.M.4
  • 39
    • 38049123909 scopus 로고    scopus 로고
    • Random k-labelsets: An ensemble method for multilabel classification
    • G. Tsoumakas and I. Vlahavas, "Random k-labelsets: An ensemble method for multilabel classification, " in Machine Learning: ECML. Springer, 2007, pp. 406-417.
    • (2007) Machine Learning: ECML. Springer , pp. 406-417
    • Tsoumakas, G.1    Vlahavas, I.2
  • 41
    • 19044382587 scopus 로고    scopus 로고
    • Round robin classification
    • Mar.
    • J. Fürnkranz, "Round robin classification, " J. Mach. Learn. Res., vol. 2, pp. 721-747, Mar. 2002.
    • (2002) J. Mach. Learn. Res , vol.2 , pp. 721-747
    • Fürnkranz, J.1
  • 42
    • 51349159085 scopus 로고    scopus 로고
    • Probability estimates for multiclass classification by pairwise coupling
    • Dec.
    • T.-F. Wu, C.-J. Lin, and R. C. Weng, "Probability estimates for multiclass classification by pairwise coupling, " J. Mach. Learn. Res., vol. 5, pp. 975-1005, Dec. 2004.
    • (2004) J. Mach. Learn. Res , vol.5 , pp. 975-1005
    • Wu, T.-F.1    Lin, C.-J.2    Weng, R.C.3
  • 43
  • 45
    • 77956528679 scopus 로고    scopus 로고
    • Multi-label prediction via compressed sensing
    • D. Hsu, S. Kakade, J. Langford, and T. Zhang, "Multi-label prediction via compressed sensing, " in Proc. NIPS, vol. 22. 2009, pp. 772-780.
    • (2009) Proc. NIPS , vol.22 , pp. 772-780
    • Hsu, D.1    Kakade, S.2    Langford, J.3    Zhang, T.4
  • 48
    • 84876940405 scopus 로고    scopus 로고
    • On the consistency of multi-label learning
    • Jun. /Jul.
    • W. Gao and Z.-H. Zhou, "On the consistency of multi-label learning, " Artif. Intell., vols. 199-200, pp. 22-44, Jun. /Jul. 2013.
    • (2013) Artif. Intell. , vol.199-200 , pp. 22-44
    • Gao, W.1    Zhou, Z.-H.2
  • 49
    • 84865223006 scopus 로고    scopus 로고
    • On label dependence and loss minimization in multi-label classification
    • Jul.
    • K. Dembczýnski, W. Waegeman, W. Cheng, and E. Hüllermeier, "On label dependence and loss minimization in multi-label classification, " Mach. Learn., vol. 88, no. 1, pp. 5-45, Jul. 2012.
    • (2012) Mach. Learn , vol.88 , Issue.1 , pp. 5-45
    • Dembczýnski, K.1    Waegeman, W.2    Cheng, W.3    Hüllermeier, E.4
  • 50
    • 84879055538 scopus 로고    scopus 로고
    • Self-supervised online metric learning with low rank constraint for scene categorization
    • Aug.
    • Y. Cong, J. Liu, J. Yuan, and J. Luo, "Self-supervised online metric learning with low rank constraint for scene categorization, " IEEE Trans. Image Process., vol. 22, no. 8, pp. 3179-3191, Aug. 2013.
    • (2013) IEEE Trans. Image Process , vol.22 , Issue.8 , pp. 3179-3191
    • Cong, Y.1    Liu, J.2    Yuan, J.3    Luo, J.4
  • 51
    • 0030106462 scopus 로고    scopus 로고
    • Semidefinite programming
    • L. Vandenberghe and S. Boyd, "Semidefinite programming, " SIAM Rev., vol. 38, no. 1, pp. 49-95, 1996.
    • (1996) SIAM Rev , vol.38 , Issue.1 , pp. 49-95
    • Vandenberghe, L.1    Boyd, S.2
  • 53
    • 78650977486 scopus 로고    scopus 로고
    • Image tag refinement towards low-rank, content-tag prior and error sparsity
    • G. Zhu, S. Yan, and Y. Ma, "Image tag refinement towards low-rank, content-tag prior and error sparsity, " in Proc. Int. Conf. Multimedia, 2010, pp. 461-470.
    • (2010) Proc. Int. Conf. Multimedia , pp. 461-470
    • Zhu, G.1    Yan, S.2    Ma, Y.3
  • 54
    • 79957957723 scopus 로고    scopus 로고
    • Fixed point and Bregman iterative methods for matrix rank minimization
    • Jun.
    • S. Ma, D. Goldfarb, and L. Chen, "Fixed point and Bregman iterative methods for matrix rank minimization, " Math. Program., vol. 128, no. 1, pp. 321-353, Jun. 2011.
    • (2011) Math. Program , vol.128 , Issue.1 , pp. 321-353
    • Ma, S.1    Goldfarb, D.2    Chen, L.3
  • 55
    • 77951291046 scopus 로고    scopus 로고
    • A singular value thresholding algorithm for matrix completion
    • J.-F. Cai, E. J. Candès, and Z. Shen, "A singular value thresholding algorithm for matrix completion, " SIAM J. Optim., vol. 20, no. 4, pp. 1956-1982, 2010.
    • (2010) SIAM J. Optim , vol.20 , Issue.4 , pp. 1956-1982
    • Cai, J.-F.1    Candès, E.J.2    Shen, Z.3
  • 56
    • 78049448383 scopus 로고    scopus 로고
    • An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems
    • K. C. Toh and S. Yun, "An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems, " Pacific J. Optim., vol. 6, nos. 615-640, p. 15, 2010.
    • (2010) Pacific J. Optim , vol.6 , Issue.615-640 , pp. 15
    • Toh, K.C.1    Yun, S.2
  • 57
    • 85014561619 scopus 로고    scopus 로고
    • A fast iterative shrinkage-thresholding algorithm for linear inverse problems
    • A. Beck and M. Teboulle, "A fast iterative shrinkage-thresholding algorithm for linear inverse problems, " SIAM J. Imag. Sci., vol. 2, no. 1, pp. 183-202, 2009.
    • (2009) SIAM J. Imag. Sci , vol.2 , Issue.1 , pp. 183-202
    • Beck, A.1    Teboulle, M.2
  • 58
    • 71149103464 scopus 로고    scopus 로고
    • An accelerated gradient method for trace norm minimization
    • S. Ji and J. Ye, "An accelerated gradient method for trace norm minimization, " in Proc. 26th Annu. Int. Conf. Mach. Learn., 2009, pp. 457-464.
    • (2009) Proc. 26th Annu. Int. Conf. Mach. Learn. , pp. 457-464
    • Ji, S.1    Ye, J.2
  • 59
    • 84890351391 scopus 로고    scopus 로고
    • Reduced rank regression via adaptive nuclear norm penalization
    • Sep.
    • K. Chen, H. Dong, and K.-S. Chan, "Reduced rank regression via adaptive nuclear norm penalization, " Biometrika, vol. 100, no. 4, pp. 901-920, Sep. 2013.
    • (2013) Biometrika , vol.100 , Issue.4 , pp. 901-920
    • Chen, K.1    Dong, H.2    Chan, K.-S.3
  • 60
    • 84919793228 scopus 로고    scopus 로고
    • A proximal stochastic gradient method with progressive variance reduction
    • L. Xiao and T. Zhang, "A proximal stochastic gradient method with progressive variance reduction, " SIAM J. Optim., vol. 24, no. 4, pp. 2057-2075, 2014.
    • (2014) SIAM J. Optim , vol.24 , Issue.4 , pp. 2057-2075
    • Xiao, L.1    Zhang, T.2
  • 65
    • 84919784225 scopus 로고    scopus 로고
    • Condensed filter tree for cost-sensitive multilabel classification
    • C.-L. Li and H.-T. Lin, "Condensed filter tree for cost-sensitive multilabel classification, " in Proc. 31st Int. Conf. Mach. Learn. (ICML), 2014, pp. 423-431.
    • (2014) Proc. 31st Int. Conf. Mach. Learn. (ICML) , pp. 423-431
    • Li, C.-L.1    Lin, H.-T.2
  • 66
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • Jan.
    • J. Demšar, "Statistical comparisons of classifiers over multiple data sets, " J. Mach. Learn. Res., vol. 7, pp. 1-30, Jan. 2006.
    • (2006) J. Mach. Learn. Res , vol.7 , pp. 1-30
    • Demšar, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.