메뉴 건너뛰기




Volumn , Issue , 2009, Pages 17-24

Hidden-concept driven image decomposition towards semi-supervised multi-label image annotation

Author keywords

Hidden concepts; Multi label image annotation; Nonnegative data factorization; Semi supervised learning; Sparse coding

Indexed keywords

HIDDEN-CONCEPTS; IMAGE DATASETS; IMAGE DECOMPOSITION; IMAGE REGIONS; IMAGE REPRESENTATIONS; IMAGE SIMILARITY; LABEL SPACE; LABELED DATA; LOCAL REGION; MULTI-LABEL; OBJECTIVE FUNCTIONS; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; SPARSE CODING;

EID: 77951528560     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1734605.1734613     Document Type: Conference Paper
Times cited : (7)

References (30)
  • 1
    • 77951538268 scopus 로고    scopus 로고
    • http://picasa.google.com.
  • 2
    • 77951557880 scopus 로고    scopus 로고
    • http://www.flickr.com/.
  • 7
    • 33646365077 scopus 로고    scopus 로고
    • For most large underdetermined systems of linear equations the minimal l1-norm solution is also the sparsest solution
    • D. L. Donoho. For most large underdetermined systems of linear equations the minimal l1-norm solution is also the sparsest solution. Communications on Pure and Applied Mathematics, 59(6):797-826, 2006.
    • (2006) Communications on Pure and Applied Mathematics , vol.59 , Issue.6 , pp. 797-826
    • Donoho, D.L.1
  • 8
    • 40849134401 scopus 로고    scopus 로고
    • Integrating concept ontology and multitask learning to achieve more effective classifier training for multilevel image annotation
    • J. Fan, Y. Gao, and H. Luo. Integrating concept ontology and multitask learning to achieve more effective classifier training for multilevel image annotation. IEEE Transactions on Image Processing, 17(3):407-426, 2008.
    • (2008) IEEE Transactions on Image Processing , vol.17 , Issue.3 , pp. 407-426
    • Fan, J.1    Gao, Y.2    Luo, H.3
  • 9
    • 38349146482 scopus 로고    scopus 로고
    • Mining multilevel image semantics via hierarchical classification
    • J. Fan, Y. Gao, H. Luo, and R. Jain. Mining multilevel image semantics via hierarchical classification. IEEE Transactions on Multimedia, 10(2):167-187, 2008.
    • (2008) IEEE Transactions on Multimedia , vol.10 , Issue.2 , pp. 167-187
    • Fan, J.1    Gao, Y.2    Luo, H.3    Jain, R.4
  • 11
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic (ROC) curve
    • J. A. Hanley and B. J. McNeil. The meaning and use of the area under a receiver operating characteristic (roc) curve. Radiology, 143(1):29-36, 1982. (Pubitemid 12142173)
    • (1982) Radiology , vol.143 , Issue.1 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 14
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401(6755):788-791, 1999. (Pubitemid 129515838)
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 17
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 18
    • 14644408001 scopus 로고    scopus 로고
    • A Bayesian network-based framework for semantic image understanding
    • DOI 10.1016/j.patcog.2004.11.001, PII S003132030400408X, Image Understanding for Photographs
    • J. Luo, A. E. Savakis, and A. Singhal. A bayesian network-based framework for semantic image understanding. Pattern Recognition, 38(6):919-934, 2005. (Pubitemid 40308639)
    • (2005) Pattern Recognition , vol.38 , Issue.6 , pp. 919-934
    • Luo, J.1    Savakis, A.E.2    Singhal, A.3
  • 28
    • 33846580425 scopus 로고    scopus 로고
    • Local features and kernels for classification of texture and object categories: A comprehensive study
    • J. Zhang, M. Marsza ek, and C. Lazebnik. Local features and kernels for classification of texture and object categories: a comprehensive study. International Journal of Computer Vision, 73(2):213-238, 2007.
    • (2007) International Journal of Computer Vision , vol.73 , Issue.2 , pp. 213-238
    • Zhang, J.1    Ek Marsza, M.2    Lazebnik, C.3
  • 29
    • 84864028262 scopus 로고    scopus 로고
    • Multi-instance multi-label learning with application to scene classification
    • Z. H. Zhou and M. L. Zhang. Multi-instance multi-label learning with application to scene classification. Advances in Neural Information Processing Systems, 19:1609-1616, 2007.
    • (2007) Advances in Neural Information Processing Systems , vol.19 , pp. 1609-1616
    • Zhou, Z.H.1    Zhang, M.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.