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Volumn , Issue , 2012, Pages 606-612

Choosing Linguistics over Vision to Describe Images

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; STATISTICAL TESTS;

EID: 85059866463     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (37)

References (21)
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  • 4
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  • 5
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  • 6
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    • The IAPR TC-12 benchmark: A new evaluation resource for visual information systems
    • Grubinger, M.; Clough, P. D; Müller, H.; and Thomas, D. 2006. The IAPR TC-12 benchmark: A new evaluation resource for visual information systems. In LREC.
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  • 7
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    • TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation
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  • 8
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    • Automatic image annotation and retrieval using cross-media relevance models
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    • Jeon, J.1    Lavrenko, V.2    Manmatha, R.3
  • 10
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    • Automatic evaluation of summaries using n-gram co-occurrence statistics
    • Lin, C.-Y., and Hovy, E. 2003. Automatic evaluation of summaries using n-gram co-occurrence statistics In NAACLHLT, pages 71-78.
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  • 11
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    • Composing simple image descriptions using web-scale n-grams
    • Li, S.; Kulkarni, G.; Berg, T. L.; Berg, A. C.; and Choi, Y. 2011. Composing simple image descriptions using web-scale n-grams. In CoNLL, pages 220-228.
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  • 12
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  • 14
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    • (III); and
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.