메뉴 건너뛰기




Volumn , Issue , 2009, Pages 2029-2034

Image annotation using multi-label correlated Green's function

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC IMAGE ANNOTATION; CLASSIFICATION ALGORITHM; CLASSIFICATION PERFORMANCE; DECISION BOUNDARY; IMAGE ANNOTATION; IMAGE SEARCH; LOCAL FEATURE; MULTI-LABEL; OBJECTIVE FUNCTIONS; PRIOR KNOWLEDGE; RESEARCH TOPICS; SEMI-SUPERVISED LEARNING; STATE-OF-THE-ART METHODS; TESTING DATA; TRAINING DATA;

EID: 77953186234     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459447     Document Type: Conference Paper
Times cited : (107)

References (24)
  • 3
    • 77953181341 scopus 로고    scopus 로고
    • Trecvid
    • Trecvid. http://www-nlpir.nist.gov/projects/trecvid/.
  • 4
    • 24644495320 scopus 로고    scopus 로고
    • Formulating semantic image annotation as a supervised learning problem
    • G. Carneiro and N. Vasconcelos. Formulating semantic image annotation as a supervised learning problem. In Proc. of CVPR, 2005.
    • Proc. of CVPR, 2005
    • Carneiro, G.1    Vasconcelos, N.2
  • 6
    • 78651102750 scopus 로고    scopus 로고
    • Semi-supervised Multi-label Learning by Solving a Sylvester Equation
    • G. Chen, Y. Song, F. Wang, and C. Zhang. Semi-supervised Multi-label Learning by Solving a Sylvester Equation. In Proc. of SDM, 2008.
    • Proc. of SDM, 2008
    • Chen, G.1    Song, Y.2    Wang, F.3    Zhang, C.4
  • 8
    • 36849023115 scopus 로고    scopus 로고
    • A learning framework using Green's function and kernel regularization with application to recommender system
    • C. Ding, H. Simon, R. Jin, and T. Li. A learning framework using Green's function and kernel regularization with application to recommender system. In Proc. of ACM SIGKDD, pages 260-269, 2007.
    • (2007) Proc. of ACM SIGKDD , pp. 260-269
    • Ding, C.1    Simon, H.2    Jin, R.3    Li, T.4
  • 9
    • 84864043341 scopus 로고    scopus 로고
    • Infinite latent feature models and the Indian buffet process
    • T. Griffiths and Z. Ghahramani. Infinite latent feature models and the Indian buffet process. Proc. of NIPS, 2006.
    • Proc. of NIPS, 2006
    • Griffiths, T.1    Ghahramani, Z.2
  • 10
    • 51949109425 scopus 로고    scopus 로고
    • Semi-supervised SVM batch mode active learning for image retrieval in
    • S. Hoi, R. Jin, J. Zhu, and M. Lyu. Semi-supervised SVM batch mode active learning for image retrieval. In Proc. of CVPR, 2008.
    • Proc. of CVPR, 2008
    • Hoi, S.1    Jin, R.2    Zhu, J.3    Lyu, M.4
  • 11
    • 0041775676 scopus 로고    scopus 로고
    • Diffusion kernels on graphs and other discrete input spaces in
    • R. Kondor and J. Lafferty. Diffusion kernels on graphs and other discrete input spaces. In Proc. of ICML, 2002.
    • Proc. of ICML, 2002
    • Kondor, R.1    Lafferty, J.2
  • 15
    • 36849001277 scopus 로고    scopus 로고
    • LSCOM-lite: A light scale concept ontology for multimedia understanding for TRECVID 2005
    • Technical report, Technical report, RC23612 (W0505-104)
    • M. Naphade, L. Kennedy, J. Kender, S. Chang, J. Smith, P. Over, and A. Hauptmann. LSCOM-lite: A light scale concept ontology for multimedia understanding for TRECVID 2005. Technical report, Technical report, IBM Research Tech. Report, RC23612 (W0505-104), 2005.
    • (2005) IBM Research Tech. Report
    • Naphade, M.1    Kennedy, L.2    Kender, J.3    Chang, S.4    Smith, J.5    Over, P.6    Hauptmann, A.7
  • 16
    • 0033905095 scopus 로고    scopus 로고
    • BoosTexter: A boosting-based system for text categorization
    • R. Schapire and Y. Singer. BoosTexter: A boosting-based system for text categorization. Machine learning, 39(2):135-168, 2000.
    • (2000) Machine Learning , vol.39 , Issue.2 , pp. 135-168
    • Schapire, R.1    Singer, Y.2
  • 17
    • 84858874031 scopus 로고    scopus 로고
    • Partially labeled classification with Markov random walks
    • M. Szummer and T. Jaakkola. Partially labeled classification with Markov random walks. In Proc. of NIPS, 2002.
    • Proc. of NIPS, 2002
    • Szummer, M.1    Jaakkola, T.2
  • 18
    • 11244271186 scopus 로고    scopus 로고
    • Parametric metric models for multi-labelled text
    • N. Ueda and K. Saito. Parametric metric models for multi-labelled text. In Proc. of NIPS, 2002.
    • Proc. of NIPS, 2002
    • Ueda, N.1    Saito, K.2
  • 24
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised learning using gaussian fields and harmonic functions
    • X. Zhu, Z. Ghahramani, and J. Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. In Proc. of ICML, 2003.
    • Proc. of ICML, 2003
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.