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Volumn , Issue , 2009, Pages 838-841

A fuzzy combined learning approach to content-based image retrieval

Author keywords

Content based image retrieval; Fuzzy support vector machine learning; Long term learning; Semantic clustering technique; Short term learning

Indexed keywords

CONTENT-BASED IMAGE RETRIEVAL; FUZZY SUPPORT VECTOR MACHINE LEARNING; LONG-TERM LEARNING; SEMANTIC CLUSTERING TECHNIQUE; SHORT-TERM LEARNING;

EID: 70449563117     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2009.5202625     Document Type: Conference Paper
Times cited : (12)

References (12)
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  • 3
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    • Li, M.1    Chen, Z.2    Zhang, H.3
  • 8
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    • Learning a Semantic Space from User's Relevance Feedback for Image Retrieval
    • X. He, O. King, W. Y. Ma, M. Li, and H. Zhang, "Learning a Semantic Space from User's Relevance Feedback for Image Retrieval," IEEE Trans. CSVT, Vol. 13, pp. 39-48, 2003.
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    • He, X.1    King, O.2    Ma, W.Y.3    Li, M.4    Zhang, H.5
  • 9
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    • A Unified Log-Based Relevance Feedback Scheme for Image Retrieval
    • S. C. H. Hoi, M. R. Lyu, and R. Jin, A Unified Log-Based Relevance Feedback Scheme for Image Retrieval," IEEE Trans. KDE, Vol. 18, No. 4, pp. 509-524, 2006.
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    • A Memory Learning Framework for Effective Image Retrieval
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.