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Volumn , Issue 543 CP, 2008, Pages 453-458

Query refinement and user relevance feedback for contextualized image retrieval

Author keywords

K Means; Particle swarm optimisation; Query refinement; Relevance feedback; Wikipedia

Indexed keywords

K-MEANS; PARTICLE SWARM OPTIMISATION; QUERY REFINEMENT; RELEVANCE FEEDBACK; WIKIPEDIA;

EID: 67649188477     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/cp:20080356     Document Type: Conference Paper
Times cited : (21)

References (13)
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  • 6
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    • Patterns of semantic relations to improve image content search
    • DOI 10.1016/j.websem.2007.05.002, PII S1570826807000182
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  • 9
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    • (1990) Proceedings of IEEE , vol.78 , Issue.4 , pp. 1464-1480
    • Kohonen, T.1
  • 11
    • 0023379184 scopus 로고
    • FLOCKS, HERDS, and SCHOOLS: A DISTRIBUTED BEHAVIORAL MODEL
    • C.W. Reynolds. Flocks, herds and schools: a distributed behavioural model. In Computer Graphics, pages 25-34, 1987. (Pubitemid 18521938)
    • (1987) Computer Graphics (ACM) , vol.21 , Issue.4 , pp. 25-34
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  • 12
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    • Semantic taxonomy induction from heterogenous evidence
    • R. Snow, D. Jurafsky, and Y. Ng. Semantic taxonomy induction from heterogenous evidence. In ACL., 2006, 2006.
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    • Snow, R.1    Jurafsky, D.2    Ng, Y.3
  • 13
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    • Survey of clustering algorithms
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    • R. Xu and D. Wunch II. Survey of clustering algorithms. IEEE Trans. Neural Network, 6(3):645-678, May 2005.
    • (2005) IEEE Trans. Neural Network , vol.6 , Issue.3 , pp. 645-678
    • Xu, R.1    Wunch II, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.