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Volumn 21, Issue 6, 2012, Pages 3066-3079

Image annotation by input-output structural grouping sparsity

Author keywords

Automatic image annotation (AIA); Regularized regression; Structural grouping sparsity; Structured feature selection; Tree structured grouping sparsity

Indexed keywords

AUTOMATIC IMAGE ANNOTATION; BI-LAYER; DISCRIMINATIVE FEATURES; HETEROGENEOUS FEATURES; HIGH-DIMENSIONAL; IMAGE ANNOTATION; IMAGE DATASETS; INPUT AND OUTPUTS; INPUT-OUTPUT; MULTI-LABEL; REAL-WORLD IMAGE DATA; REGRESSION MODEL; REGULARIZED REGRESSION; STRUCTURAL GROUPINGS; TREE STRUCTURES; TREE-STRUCTURED GROUPING SPARSITY;

EID: 84861125914     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2012.2183880     Document Type: Article
Times cited : (46)

References (41)
  • 1
    • 0032663356 scopus 로고    scopus 로고
    • Image retrieval: Current techniques, promising directions, and open issues
    • Mar.
    • Y. Rui, T. Huang, and S. Chang, "Image retrieval: Current techniques, promising directions, and open issues," J. Visual Commun. Image Represent., vol. 10, no. 1, pp. 39-62, Mar. 1999.
    • (1999) J. Visual Commun. Image Represent. , vol.10 , Issue.1 , pp. 39-62
    • Rui, Y.1    Huang, T.2    Chang, S.3
  • 3
    • 43249093335 scopus 로고    scopus 로고
    • Image retrieval: Ideas, influences, and trends of the new age
    • Apr.
    • R. Datta, D. Joshi, J. Li, and J. Wang, "Image retrieval: Ideas, influences, and trends of the new age," ACM Comput. Surveys (CSUR), vol. 40, no. 2, p. 5, Apr. 2008.
    • (2008) ACM Comput. Surveys (CSUR) , vol.40 , Issue.2 , pp. 5
    • Datta, R.1    Joshi, D.2    Li, J.3    Wang, J.4
  • 4
    • 33749264994 scopus 로고    scopus 로고
    • A survey of content-based image retrieval with high-level semantics
    • Jan.
    • Y. Liu, D. Zhang, G. Lu, and W. Ma, "A survey of content-based image retrieval with high-level semantics," Pattern Recognit., vol. 40, no. 1, pp. 262-282, Jan. 2007.
    • (2007) Pattern Recognit. , vol.40 , Issue.1 , pp. 262-282
    • Liu, Y.1    Zhang, D.2    Lu, G.3    Ma, W.4
  • 5
    • 80052749264 scopus 로고    scopus 로고
    • A review on automatic image annotation techniques
    • Jan.
    • D. Zhang, M. Islam, and G. Lu, "A review on automatic image annotation techniques," Pattern Recognit., vol. 45, no. 1, pp. 346-362, Jan. 2012.
    • (2012) Pattern Recognit. , vol.45 , Issue.1 , pp. 346-362
    • Zhang, D.1    Islam, M.2    Lu, G.3
  • 7
    • 84937572644 scopus 로고    scopus 로고
    • Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary
    • P. Duygulu, K. Barnard, J. De Freitas, and D. Forsyth, "Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary," in Proc. ECCV, 2002, pp. 97-112.
    • (2002) Proc. ECCV , pp. 97-112
    • Duygulu, P.1    Barnard, K.2    De Freitas, J.3    Forsyth, D.4
  • 8
    • 46149118255 scopus 로고    scopus 로고
    • A discriminative kernel-based approach to rank images from text queries
    • Aug.
    • D. Grangier and S. Bengio, "A discriminative kernel-based approach to rank images from text queries," IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 8, pp. 1371-1384, Aug. 2008.
    • (2008) IEEE Trans. Pattern Anal. Mach. Intell. , vol.30 , Issue.8 , pp. 1371-1384
    • Grangier, D.1    Bengio, S.2
  • 9
    • 84863161940 scopus 로고    scopus 로고
    • Image categorization by learning and reasoning with regions
    • Dec.
    • Y. Chen, J. Wang, and D. Geman, "Image categorization by learning and reasoning with regions," J. Mach. Learn. Res., vol. 5, pp. 913-939, Dec. 2004.
    • (2004) J. Mach. Learn. Res. , vol.5 , pp. 913-939
    • Chen, Y.1    Wang, J.2    Geman, D.3
  • 10
    • 0002288190 scopus 로고    scopus 로고
    • Multiple-instance learning for natural scene classification
    • O. Maron and A. Ratan, "Multiple-instance learning for natural scene classification," in Proc. ICML, 1998, pp. 341-349.
    • (1998) Proc. ICML , pp. 341-349
    • Maron, O.1    Ratan, A.2
  • 11
    • 77953184874 scopus 로고    scopus 로고
    • Heterogeneous feature machines for visual recognition
    • L. Cao, J. Luo, F. Liang, and T. Huang, "Heterogeneous feature machines for visual recognition," in Proc. IEEE ICCV, 2009, pp. 1095-1102.
    • (2009) Proc. IEEE ICCV , pp. 1095-1102
    • Cao, L.1    Luo, J.2    Liang, F.3    Huang, T.4
  • 12
    • 85083605123 scopus 로고    scopus 로고
    • Unsupervised learning of visual sense models for polysemous words
    • K. Saenko and T. Darrell, "Unsupervised learning of visual sense models for polysemous words," in Proc. Adv. Neural Inform. Process. Syst., 2008, vol. 13, pp. 1-8.
    • (2008) Proc. Adv. Neural Inform. Process. Syst. , vol.13 , pp. 1-8
    • Saenko, K.1    Darrell, T.2
  • 14
    • 33845583962 scopus 로고    scopus 로고
    • Correlated label propagation with application to multi-label learning
    • F. Kang, R. Jin, and R. Sukthankar, "Correlated label propagation with application to multi-label learning," in Proc. IEEE Comput. Soc. Conf. CVPR, 2006, pp. 1719-1726.
    • (2006) Proc. IEEE Comput. Soc. Conf. CVPR , pp. 1719-1726
    • Kang, F.1    Jin, R.2    Sukthankar, R.3
  • 15
    • 57749121315 scopus 로고    scopus 로고
    • Multi-label dimensionality reduction via dependence maximization
    • Y. Zhang and Z. Zhou, "Multi-label dimensionality reduction via dependence maximization," in Proc. AAAI Conf., 2008, pp. 1503-1505.
    • (2008) Proc. AAAI Conf. , pp. 1503-1505
    • Zhang, Y.1    Zhou, Z.2
  • 17
    • 65449189832 scopus 로고    scopus 로고
    • Extracting shared subspace for multilabel classification
    • S. Ji, L. Tang, S. Yu, and J. Ye, "Extracting shared subspace for multilabel classification," in Proc. ACM SIGKDD Int. Conf. KDD, 2008, pp. 381-389.
    • (2008) Proc. ACM SIGKDD Int. Conf. KDD , pp. 381-389
    • Ji, S.1    Tang, L.2    Yu, S.3    Ye, J.4
  • 18
    • 40849134401 scopus 로고    scopus 로고
    • Integrating concept ontology and multitask learning to achieve more effective classifier training for multilevel image annotation
    • Mar.
    • J. Fan, Y. Gao, and H. Luo, "Integrating concept ontology and multitask learning to achieve more effective classifier training for multilevel image annotation," IEEE Trans. Image Process., vol. 17, no. 3, pp. 407-426, Mar. 2008.
    • (2008) IEEE Trans. Image Process. , vol.17 , Issue.3 , pp. 407-426
    • Fan, J.1    Gao, Y.2    Luo, H.3
  • 20
    • 37849051974 scopus 로고    scopus 로고
    • Enhancing image annotation by integrating concept ontology and text-based Bayesian learning model
    • R. Shi, C. Lee, and T. Chua, "Enhancing image annotation by integrating concept ontology and text-based Bayesian learning model," in Proc. 15th Int. Conf. Multimedia, 2007, pp. 341-344.
    • (2007) Proc. 15th Int. Conf. Multimedia , pp. 341-344
    • Shi, R.1    Lee, C.2    Chua, T.3
  • 21
    • 84864028262 scopus 로고    scopus 로고
    • Multi-instance multi-label learning with application to scene classification
    • Z. Zhou and M. Zhang, "Multi-instance multi-label learning with application to scene classification," in Proc. NIPS, 2007, pp. 1609-1616.
    • (2007) Proc. NIPS , pp. 1609-1616
    • Zhou, Z.1    Zhang, M.2
  • 22
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the Lasso
    • R. Tibshirani, "Regression shrinkage and selection via the Lasso," J. Roy. Stat. Soc. Ser. B (Stat. Methodol.), vol. 58, no. 1, pp. 267-288, 1996.
    • (1996) J. Roy. Stat. Soc. Ser. B (Stat. Methodol.) , vol.58 , Issue.1 , pp. 267-288
    • Tibshirani, R.1
  • 23
    • 33645035051 scopus 로고    scopus 로고
    • Model selection and estimation in regression with grouped variables
    • Feb.
    • M. Yuan and Y. Lin, "Model selection and estimation in regression with grouped variables," J. Roy. Stat. Soc. Ser. B (Methodol.), vol. 68, no. 1, pp. 49-67, Feb. 2006.
    • (2006) J. Roy. Stat. Soc. Ser. B (Methodol.) , vol.68 , Issue.1 , pp. 49-67
    • Yuan, M.1    Lin, Y.2
  • 24
    • 0000927638 scopus 로고    scopus 로고
    • Predicting multivariate responses in multiple linear regression
    • L. Breiman and J. Friedman, "Predicting multivariate responses in multiple linear regression," J. Roy. Stat. Soc. Ser. B (Methodol.), vol. 59, no. 1, pp. 3-54, 1997.
    • (1997) J. Roy. Stat. Soc. Ser. B (Methodol.) , vol.59 , Issue.1 , pp. 3-54
    • Breiman, L.1    Friedman, J.2
  • 25
    • 0000107975 scopus 로고
    • Relations between two sets of variates
    • H. Hotelling, "Relations between two sets of variates," Biometrika, vol. 28, no. 3/4, pp. 321-377, 1936.
    • (1936) Biometrika , vol.28 , Issue.3-4 , pp. 321-377
    • Hotelling, H.1
  • 26
    • 78650979494 scopus 로고    scopus 로고
    • Multi-label boosting for image annotation by structural grouping sparsity
    • F. Wu, Y. Han, Q. Tian, and Y. Zhuang, "Multi-label boosting for image annotation by structural grouping sparsity," in Proc. ACM MM, 2010, pp. 15-24.
    • (2010) Proc. ACM MM , pp. 15-24
    • Wu, F.1    Han, Y.2    Tian, Q.3    Zhuang, Y.4
  • 27
    • 84861124558 scopus 로고    scopus 로고
    • Multi-label image annotation by structural grouping sparsity
    • New York: Springer-Verlag
    • Y. Han, F.Wu, and Y. Zhuang, "Multi-label image annotation by structural grouping sparsity," in Social Media Modeling and Computing. New York: Springer-Verlag, 2011, pp. 97-118.
    • (2011) Social Media Modeling and Computing , pp. 97-118
    • Han, Y.1    Wu, F.2    Zhuang, Y.3
  • 28
    • 55149088329 scopus 로고    scopus 로고
    • Convex multi-task feature learning
    • Dec.
    • A. Argyriou, T. Evgeniou, and M. Pontil, "Convex multi-task feature learning," Mach. Learn., vol. 73, no. 3, pp. 243-272, Dec. 2008.
    • (2008) Mach. Learn. , vol.73 , Issue.3 , pp. 243-272
    • Argyriou, A.1    Evgeniou, T.2    Pontil, M.3
  • 30
    • 77956548668 scopus 로고    scopus 로고
    • Tree-guided group lasso for multi-task regression with structured sparsity
    • S. Kim and E. Xing, "Tree-guided group lasso for multi-task regression with structured sparsity," in Proc. 27th Int. Conf. Mach. Learn., 2010, pp. 543-550.
    • (2010) Proc. 27th Int. Conf. Mach. Learn. , pp. 543-550
    • Kim, S.1    Xing, E.2
  • 34
    • 77958542913 scopus 로고    scopus 로고
    • Multi-task sparse discriminant analysis (MtSDA) with overlapping categories
    • Y. Han, F.Wu, J. Jia, Y. Zhuang, and B.Yu, "Multi-task sparse discriminant analysis (MtSDA) with overlapping categories," in Proc. 24th AAAI Conf., 2010, pp. 469-474.
    • (2010) Proc. 24th AAAI Conf. , pp. 469-474
    • Han, Y.1    Wu, F.2    Jia, J.3    Zhuang, Y.4    Yu, B.5
  • 35
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable selection via the elastic net
    • Apr.
    • H. Zou and T. Hastie, "Regularization and variable selection via the elastic net," J. Roy. Stat. Soc. Ser. B (Stat. Methodol.), vol. 67, no. 2, pp. 301-320, Apr. 2005.
    • (2005) J. Roy. Stat. Soc. Ser. B (Stat. Methodol.) , vol.67 , Issue.2 , pp. 301-320
    • Zou, H.1    Hastie, T.2
  • 38
    • 0345327592 scopus 로고    scopus 로고
    • A simple and efficient algorithm for gene selection using sparse logistic regression
    • S. Shevade and S. Keerthi, "A simple and efficient algorithm for gene selection using sparse logistic regression," Bioinformatics, vol. 19, no. 17, pp. 2246-2253, 2003.
    • (2003) Bioinformatics , vol.19 , Issue.17 , pp. 2246-2253
    • Shevade, S.1    Keerthi, S.2
  • 39
    • 0001868572 scopus 로고    scopus 로고
    • Text categorization based on regularized linear classification methods
    • Apr.
    • T. Zhang and F. Oles, "Text categorization based on regularized linear classification methods," Inf. Retrieval, vol. 4, no. 1, pp. 5-31, Apr. 2001.
    • (2001) Inf. Retrieval , vol.4 , Issue.1 , pp. 5-31
    • Zhang, T.1    Oles, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.