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Volumn , Issue , 2010, Pages 1481-1484

A feature-word-topic model for image annotation

Author keywords

Image annotation; Mixture hierarchies; Topic models

Indexed keywords

IMAGE ANNOTATION; MULTI-CLASS; NOVEL METHODS; SEMANTIC LABELS; STATE-OF-THE-ART METHODS; TEXT MINING; TOPIC MODEL; WORD ASSOCIATION;

EID: 78651328899     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1871437.1871652     Document Type: Conference Paper
Times cited : (9)

References (10)
  • 5
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • T. Hofmann. Unsupervised learning by probabilistic latent semantic analysis. Machine Learning, 42(1-2):177-196, 2001.
    • (2001) Machine Learning , vol.42 , Issue.1-2 , pp. 177-196
    • Hofmann, T.1
  • 6
    • 13444292911 scopus 로고    scopus 로고
    • Effective automatic image annotation via a coherent language model and active learning
    • R. Jin, J. Y. Chai, and L. Si. Effective automatic image annotation via a coherent language model and active learning. In Proc. of the 12th annual ACM Int. Conf. on Multimedia, pages 892-899, 2004.
    • (2004) Proc. of the 12th Annual ACM Int. Conf. on Multimedia , pp. 892-899
    • Jin, R.1    Chai, J.Y.2    Si, L.3
  • 9
    • 36048970829 scopus 로고    scopus 로고
    • Modeling semantic aspects for cross-media image indexing
    • F. Monay and D. Gatica-Perez. Modeling semantic aspects for cross-media image indexing. IEEE Trans. Pattern Anal. Mach. Intell., 29(10):1802-1817, 2007.
    • (2007) IEEE Trans. Pattern Anal. Mach. Intell. , vol.29 , Issue.10 , pp. 1802-1817
    • Monay, F.1    Gatica-Perez, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.