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Volumn 16, Issue 4, 2002, Pages 134-137

Building a latent semantic index of an image database from patterns of relevance feedback

Author keywords

[No Author keywords available]

Indexed keywords

FEEDBACK DOCUMENT; IMAGE DATABASE; LATENT SEMANTIC INDEX; COLLECTION OF DOCUMENTS; LATENT SEMANTIC ANALYSIS; LATENT SEMANTIC INDICES; QUERY INFORMATION; REAL DATA SETS; RELEVANCE FEEDBACK;

EID: 33845191548     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (53)

References (10)
  • 6
    • 0032636367 scopus 로고    scopus 로고
    • Probabilistic feature relevance learning for content-based image retrieval
    • J. Peng, B. Bhanu, and S. Qing. Probabilistic feature relevance learning for content-based image retrieval. Computer Vision and Image Understanding, 75(1/2):150-164, 1999.
    • (1999) Computer Vision and Image Understanding , vol.75 , Issue.1-2 , pp. 150-164
    • Peng, J.1    Bhanu, B.2    Qing, S.3
  • 9
    • 0002824503 scopus 로고    scopus 로고
    • Content-based query of image databases, inspirations from text retrieval: Inverted files, frequency-based weights and relevance feedback
    • Greenland
    • D. M. Squire, W. Müller, H. Müller, and J. Raki. Content-based query of image databases, inspirations from text retrieval: inverted files, frequency-based weights and relevance feedback. In 11th Scandinavian Conference on Image Analysis, pages 143-149, Greenland, 1999.
    • (1999) 11th Scandinavian Conference on Image Analysis , pp. 143-149
    • Squire, D.M.1    Müller, W.2    Müller, H.3    Raki, J.4
  • 10


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.