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Volumn 1, Issue , 2003, Pages I321-I324

Incorporating real-valued multiple instance learning into relevance feedback for image retrieval

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; FEEDBACK; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS;

EID: 84897804159     PISSN: 19457871     EISSN: 1945788X     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2003.1220919     Document Type: Conference Paper
Times cited : (11)

References (8)
  • 3
    • 0033157633 scopus 로고    scopus 로고
    • Enabling concept-based relevance feedback for information retrieval on the www
    • July/August
    • C.-H. Chang and C.-C. Hsu, "Enabling Concept-Based Relevance Feedback for Information Retrieval on the WWW, " IEEE Transactions on Knowledge and Data Engineering, Vol. 11, No. 4, pp. 595-609, July/August 1999.
    • (1999) IEEE Transactions on Knowledge and Data Engineering , vol.11 , Issue.4 , pp. 595-609
    • Chang, C.-H.1    Hsu, C.-C.2
  • 8
    • 0042878335 scopus 로고    scopus 로고
    • Blobworld: Image segmentation using expectation- maximization and its application to image querying
    • Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, submitted to
    • C. Carson, S. Belongie, H. Greenspan, and J. Malik, "Blobworld: Image Segmentation Using Expectation- Maximization and Its Application to Image Querying, " Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, submitted to PAMI.http://elib.cs.berkeley.edu/carson/papers/pami.htm.
    • PAMI
    • Carson, C.1    Belongie, S.2    Greenspan, H.3    Malik, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.