메뉴 건너뛰기




Volumn , Issue , 2011, Pages 834-841

Multi-label visual classification with label exclusive context

Author keywords

[No Author keywords available]

Indexed keywords

AFFINE TRANSFORMATIONS; CLASS LABELS; LINEAR REPRESENTATION; MULTI-LABEL; NESTEROV'S SMOOTHING; QUERY IMAGES; VISUAL CLASSIFICATION;

EID: 84863058780     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126323     Document Type: Conference Paper
Times cited : (43)

References (35)
  • 1
    • 79551550744 scopus 로고    scopus 로고
    • NESTA: A fast and accurate first-order method for sparse recovery
    • 4
    • S. Becker, J. Bobin, and E. Candes. NESTA: A fast and accurate first-order method for sparse recovery. SIAM J. On Imaging Sciences, 4(1):1-39, 2011. 4
    • (2011) SIAM J. On Imaging Sciences , vol.4 , Issue.1 , pp. 1-39
    • Becker, S.1    Bobin, J.2    Candes, E.3
  • 3
    • 84455201572 scopus 로고    scopus 로고
    • Efficient large-scale image annotation by probabilistic collaborative multi-label propagation
    • 1, 6
    • X. Chen, Y. Mu, S. Yan, and T.-S. Chua. Efficient large-scale image annotation by probabilistic collaborative multi-label propagation. In ACM MM, 2010. 1, 6
    • (2010) ACM MM
    • Chen, X.1    Mu, Y.2    Yan, S.3    Chua, T.-S.4
  • 4
    • 77956006912 scopus 로고    scopus 로고
    • Exploiting hierarchical context on a large database of object categories
    • 1
    • M. J. Choi, J. J. Lim, A. Torralba, and A. S. Willsky. Exploiting hierarchical context on a large database of object categories. In CVPR, 2010. 1
    • (2010) CVPR
    • Choi, M.J.1    Lim, J.J.2    Torralba, A.3    Willsky, A.S.4
  • 5
    • 74049158146 scopus 로고    scopus 로고
    • NUS-WIDE: A real-world web image database from national university of singapore
    • 3, 5
    • T.-S. Chua, J. Tang, R. Hong, H. Li, Z. Luo, and Y.-T. Zheng. NUS-WIDE: A real-world web image database from national university of singapore. In CIVR, 2009. 3, 5
    • (2009) CIVR
    • Chua, T.-S.1    Tang, J.2    Hong, R.3    Li, H.4    Luo, Z.5    Zheng, Y.-T.6
  • 6
    • 77953180995 scopus 로고    scopus 로고
    • Discriminative models for multi-class object layout
    • 1
    • C. Desai, D. Ramanan, and C. Fowlkes. Discriminative models for multi-class object layout. In ICCV, 2009. 1
    • (2009) ICCV
    • Desai, C.1    Ramanan, D.2    Fowlkes, C.3
  • 10
    • 36749019495 scopus 로고    scopus 로고
    • Recovery algorithm for vectorvalued data with joint sparsity constraints
    • 2
    • M. Fornasier and H. Rauhut. Recovery algorithm for vectorvalued data with joint sparsity constraints. SIAM Journal on Numerical Analysis, 46(2):577-613, 2008. 2
    • (2008) SIAM Journal on Numerical Analysis , vol.46 , Issue.2 , pp. 577-613
    • Fornasier, M.1    Rauhut, H.2
  • 11
    • 84864043341 scopus 로고    scopus 로고
    • Infinite latent feature models and the indian buffet process
    • 1
    • T. Griffiths and Z. Ghahramani. Infinite latent feature models and the indian buffet process. In NIPS, 2005. 1
    • (2005) NIPS
    • Griffiths, T.1    Ghahramani, Z.2
  • 12
    • 71149113559 scopus 로고    scopus 로고
    • Group lasso with overlap and graph lasso
    • 2
    • L. Jacob, G. Obozinski, and J. Vert. Group lasso with overlap and graph lasso. In ICML, 2009. 2
    • (2009) ICML
    • Jacob, L.1    Obozinski, G.2    Vert, J.3
  • 14
    • 73049107325 scopus 로고    scopus 로고
    • Sparsity and persistence: Mixed norms provide simple signals models with dependent coefficient
    • 3
    • M. Kowalski and B. Torreesani. Sparsity and persistence: Mixed norms provide simple signals models with dependent coefficient. Signal, Image and Video Processing, 2008. 3
    • (2008) Signal, Image and Video Processing
    • Kowalski, M.1    Torreesani, B.2
  • 15
    • 33845572523 scopus 로고    scopus 로고
    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
    • 5
    • S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006. 5
    • (2006) CVPR
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 16
    • 71149111015 scopus 로고    scopus 로고
    • Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery
    • 2
    • H. Liu, M. Palatucci, and J. Zhang. Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery. In ICML, 2009. 2
    • (2009) ICML
    • Liu, H.1    Palatucci, M.2    Zhang, J.3
  • 17
    • 77956514394 scopus 로고    scopus 로고
    • Robust graph mode seeking by graph shift
    • 2, 3
    • H. Liu and S. Yan. Robust graph mode seeking by graph shift. In ICML, 2010. 2, 3
    • (2010) ICML
    • Liu, H.1    Yan, S.2
  • 18
    • 17444406259 scopus 로고    scopus 로고
    • Smooth minimization of non-smooth functions
    • 2, 4, 7
    • Y. Nesterov. Smooth minimization of non-smooth functions. Mathematical Programming, 103(1):127-152, 2005. 2, 4, 7
    • (2005) Mathematical Programming , vol.103 , Issue.1 , pp. 127-152
    • Nesterov, Y.1
  • 19
    • 77955426203 scopus 로고    scopus 로고
    • Evaluating color descriptors for object and scene recognition
    • 5
    • K. Sande, T. Gevers, and C. Snoek. Evaluating color descriptors for object and scene recognition. TPAMI, 32(9):1582-1596, 2010. 5
    • (2010) TPAMI , vol.32 , Issue.9 , pp. 1582-1596
    • Sande, K.1    Gevers, T.2    Snoek, C.3
  • 20
    • 84858733268 scopus 로고    scopus 로고
    • Entropic graph regularization in non-parametric semi-supervised classification
    • 6
    • A. Subramanya and J. Bilmes. Entropic graph regularization in non-parametric semi-supervised classification. In NIPS, 2009. 6
    • (2009) NIPS
    • Subramanya, A.1    Bilmes, J.2
  • 21
    • 77955885915 scopus 로고    scopus 로고
    • Inferring semantic concepts from community-contributed images and noisy tags
    • 2
    • J. Tang, S. Yan, R. Hong, G.-J. Qi, and T.-S. Chua. Inferring semantic concepts from community-contributed images and noisy tags. In ACM MM, 2009. 2
    • (2009) ACM MM
    • Tang, J.1    Yan, S.2    Hong, R.3    Qi, G.-J.4    Chua, T.-S.5
  • 22
    • 70049111607 scopus 로고    scopus 로고
    • On accelerated proximal gradient methods for convex-concave optimization
    • submitted to 2, 4
    • P. Tseng. On accelerated proximal gradient methods for convex-concave optimization. submitted to SIAM Journal of Optimization, 2008. 2, 4
    • (2008) SIAM Journal of Optimization
    • Tseng, P.1
  • 23
    • 84958141402 scopus 로고    scopus 로고
    • Parametric mixture models for multilabeled text
    • 1
    • N. Ueda and K. Saito. Parametric mixture models for multilabeled text. In NIPS, 2002. 1
    • (2002) NIPS
    • Ueda, N.1    Saito, K.2
  • 24
    • 77955996870 scopus 로고    scopus 로고
    • Locality-constrained linear coding for image classification
    • 5
    • J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Locality-constrained linear coding for image classification. In CVPR, 2010. 5
    • (2010) CVPR
    • Wang, J.1    Yang, J.2    Yu, K.3    Lv, F.4    Huang, T.5    Gong, Y.6
  • 26
    • 63049138297 scopus 로고    scopus 로고
    • Beyond distance measurement: Constructing neighborhood similarity for video annotation
    • 2
    • M. Wang, X.-S. Hua, J. Tang, and R. Hong. Beyond distance measurement: Constructing neighborhood similarity for video annotation. IEEE Transactions on Multimedia, 11(3):465-476, 2009. 2
    • (2009) IEEE Transactions on Multimedia , vol.11 , Issue.3 , pp. 465-476
    • Wang, M.1    Hua, X.-S.2    Tang, J.3    Hong, R.4
  • 27
    • 61549128441 scopus 로고    scopus 로고
    • Robust face recognition via sparse representation
    • 2
    • J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma. Robust face recognition via sparse representation. TPAMI, 31(2):210-226, 2009. 2
    • (2009) TPAMI , vol.31 , Issue.2 , pp. 210-226
    • Wright, J.1    Yang, A.2    Ganesh, A.3    Sastry, S.4    Ma, Y.5
  • 28
    • 72749110068 scopus 로고    scopus 로고
    • Semi-supervised learning by sparse representation
    • 2
    • S. Yan and H. Wang. Semi-supervised learning by sparse representation. In SDM, 2009. 2
    • (2009) SDM
    • Yan, S.1    Wang, H.2
  • 29
    • 33645035051 scopus 로고    scopus 로고
    • Model selection and estimation in regression with grouped variables
    • 2, 3
    • M. Yuan and Y. Lin. Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society, Series B, 68(1):49-67, 2006. 2, 3
    • (2006) Journal of the Royal Statistical Society, Series B , vol.68 , Issue.1 , pp. 49-67
    • Yuan, M.1    Lin, Y.2
  • 30
    • 77955986472 scopus 로고    scopus 로고
    • Visual classification with multi-task joint sparse representation
    • 2
    • X.-T. Yuan and S. Yan. Visual classification with multi-task joint sparse representation. In CVPR, 2010. 2
    • (2010) CVPR
    • Yuan, X.-T.1    Yan, S.2
  • 32
    • 69949155103 scopus 로고    scopus 로고
    • The composite absolute penalties family for grouped and hierarchical variable selection
    • 2
    • P. Zhao, G. Rocha, and B. Yu. The composite absolute penalties family for grouped and hierarchical variable selection. The Annals of Statistics, 37(6A):3468-3497, 2009. 2
    • (2009) The Annals of Statistics , vol.37 , Issue.6 A , pp. 3468-3497
    • Zhao, P.1    Rocha, G.2    Yu, B.3
  • 33
    • 80052886214 scopus 로고    scopus 로고
    • Image classification using super-vector coding of local image descriptors
    • 5
    • X. Zhou, K. Yu, T. Zhang, and T. Huang. Image classification using super-vector coding of local image descriptors. In ECCV, 2010. 5
    • (2010) ECCV
    • Zhou, X.1    Yu, K.2    Zhang, T.3    Huang, T.4
  • 34
    • 80052135935 scopus 로고    scopus 로고
    • Exclusive lasso for multi-task feature selection
    • 2, 3
    • Y. Zhou, R. Jin, and S. C. Hoi. Exclusive lasso for multi-task feature selection. In AISTATS, 2010. 2, 3
    • (2010) AISTATS
    • Zhou, Y.1    Jin, R.2    Hoi, S.C.3
  • 35
    • 84885572482 scopus 로고    scopus 로고
    • Multi-labelled classification using maximum entropy method
    • 1
    • S. Zhu, X. Ji, W. Xu, and Y. Gong. Multi-labelled classification using maximum entropy method. In ACM SIGIR, 2005. 1
    • (2005) ACM SIGIR
    • Zhu, S.1    Ji, X.2    Xu, W.3    Gong, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.