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Volumn , Issue , 2009, Pages 243-252

Learning semantic distance from community-tagged media collection

Author keywords

Distance metric learning; Web image search

Indexed keywords

CLOSED FORM SOLUTIONS; DATA SETS; DISTANCE LEARNING; DISTANCE METRIC LEARNING; DISTANCE METRICS; IMAGE SHARING; LEARNING SEMANTICS; MINING MULTIMEDIA DATA; OPTIMIZATION PROBLEMS; REAL-WORLD; SEMI-DEFINITE PROGRAMMING; SIGNAL LEVEL; SIMILAR IMAGE; VISUAL CONTENT; WEB IMAGE RETRIEVAL; WEB IMAGE SEARCH; WEB IMAGES;

EID: 72449135311     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1631272.1631307     Document Type: Conference Paper
Times cited : (56)

References (24)
  • 2
    • 49949144765 scopus 로고
    • The relaxation method of find the common point of convex sets and its application to the solution of problems in convex programming
    • L. Bregman. The relaxation method of find the common point of convex sets and its application to the solution of problems in convex programming. In USSR Comp. Mathematics and Mathematical Physics, 1967.
    • (1967) USSR Comp. Mathematics and Mathematical Physics
    • Bregman, L.1
  • 13
    • 57349135211 scopus 로고    scopus 로고
    • Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering
    • M. Rege, M. Dong, and J. Hua. Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering. In Proc. of International Conference on World Wide Web, 2008.
    • (2008) Proc. of International Conference on World Wide Web
    • Rege, M.1    Dong, M.2    Hua, J.3
  • 21
    • 33749257955 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification
    • K. Q. Weinberger, J. Blitzer, and L. K. Saul. Distance metric learning for large margin nearest neighbor classification. In Proc. of NIPS, 2005.
    • (2005) Proc. of NIPS
    • Weinberger, K.Q.1    Blitzer, J.2    Saul, L.K.3
  • 24


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.