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Volumn 3115, Issue , 2004, Pages 308-316

Interactive Content-Based Retrieval Using Pre-computed Object-Object Similarities

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTERS;

EID: 35048846715     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-27814-6_38     Document Type: Article
Times cited : (9)

References (19)
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    • (2000) IEEE Tran. on Image Processing , vol.9 , Issue.50 , pp. 20-37
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  • 7
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    • Query by image and video content: The QBIC system
    • M. Flickner, H. Sawhney, W. Niblack, and J. Ashley. Query by image and video content: the QBIC system. In IEEE Computer, volume 28, pages 310-315, 1995.
    • (1995) IEEE Computer , vol.28 , pp. 310-315
    • Flickner, M.1    Sawhney, H.2    Niblack, W.3    Ashley, J.4
  • 8
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    • The LIMSI broadcast news transcription system
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    • Self-organizing maps for contentbased image retrieval
    • Washington, D.C., USA
    • J. Laaksonen, M. Koskela, and E. Oja. PicSOM: Self-organizing maps for contentbased image retrieval. In Proc. of IJCNN'99, Washington, D.C., USA, 1999.
    • (1999) Proc. of IJCNN'99
    • Laaksonen, J.1    Koskela, M.2    Oja Picsom, E.3
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    • 0017630891 scopus 로고
    • The probability ranking principle in IR
    • S. E. Robertson. The probability ranking principle in IR. Journal of Documentation, 33(4):294-304, 1977.
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    • Support vector machine active learning for image retrieval
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    • Variations Jn relevance judgments and the measurement of retrieval effectiveness
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