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Volumn , Issue , 2004, Pages 583-586

Evidence combination for Multi-Point Query Learning in content-based image retrieval

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER CENTROIDS; CONTENT-BASED IMAGE RETRIEVAL (CBIR); MULTI-POINT QUERY LEARNING; QUERY EXPANSION (QEX);

EID: 20844462238     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MMSE.2004.44     Document Type: Conference Paper
Times cited : (13)

References (11)
  • 2
    • 84937655864 scopus 로고
    • Visual pattern recognition by moment invariants
    • Feb.
    • M.-K. Hu. Visual pattern recognition by moment invariants. IRE Transactions on Information Theory, IT-8:179-187, Feb. 1962.
    • (1962) IRE Transactions on Information Theory , vol.IT-8 , pp. 179-187
    • Hu, M.-K.1
  • 4
    • 1142303680 scopus 로고    scopus 로고
    • Qcluster: Relevance feedback using adaptive clustering for content-based image retrieval
    • D.-H. Kim and C.-W. Chung. Qcluster: relevance feedback using adaptive clustering for content-based image retrieval. In Proc. of the ACM SIGMOD Int. Conf. on Management of Data, pages 599-610, 2003.
    • (2003) Proc. of the ACM SIGMOD Int. Conf. on Management of Data , pp. 599-610
    • Kim, D.-H.1    Chung, C.-W.2
  • 7
    • 10044256143 scopus 로고    scopus 로고
    • Determining the number of clusters/segments in hierarchical clustering/segmentation algorithms
    • Florida Institute of Technology
    • S. Salvador and P. Chan. Determining the number of clusters/segments in hierarchical clustering/segmentation algorithms. Technical Report CS-2003-18, Florida Institute of Technology, 2003.
    • (2003) Technical Report , vol.CS-2003-18
    • Salvador, S.1    Chan, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.