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Volumn , Issue , 2012, Pages 893-896

Discriminative bag-of-visual phrase learning for landmark recognition

Author keywords

BoP; BoW; discriminative visual phrases; landmark recognition

Indexed keywords

BAG OF WORDS; BOP; BOW; DATA SETS; FREQUENCY INFORMATION; LANDMARK RECOGNITION; MATCHING METHODS; OBJECT CATEGORIES; PHRASE FREQUENCY; RANKING ALGORITHM; SEMANTIC SIMILARITY; SIMILARITY MEASURE; VISUAL PHRASE;

EID: 84867619529     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6288028     Document Type: Conference Paper
Times cited : (7)

References (12)
  • 2
    • 80053535714 scopus 로고    scopus 로고
    • A discriminative learning approach for mobile landmark recognition
    • Brussels, Belgium, Sep.
    • T. Chen, K.- H. Yap, L.-P. Chau, "A discriminative learning approach for mobile landmark recognition," IEEE International Conference on Image Processing, pp. 217-220, Brussels, Belgium, Sep. 2011.
    • (2011) IEEE International Conference on Image Processing , pp. 217-220
    • Chen, T.1    Yap, K.H.2    Chau, L.-P.3
  • 5
    • 77952355351 scopus 로고    scopus 로고
    • A comparative study of mobile-based landmark recognition techniques
    • Jan./Feb.
    • K.-H. Yap, T. Chen, Z. Li, K. Wu, "A comparative study of mobile-based landmark recognition techniques," IEEE Intelligent Systems, vol. 25, no. 1, pp. 48-57, Jan./Feb. 2010.
    • (2010) IEEE Intelligent Systems , vol.25 , Issue.1 , pp. 48-57
    • Yap, K.-H.1    Chen, T.2    Li, Z.3    Wu, K.4
  • 11
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • T. Hofmann, "Unsupervised learning by probabilistic latent semantic analysis," Machine Learning, vol. 41, no. 2, pp. 177-196, 2001.
    • (2001) Machine Learning , vol.41 , Issue.2 , pp. 177-196
    • Hofmann, T.1
  • 12
    • 84867610729 scopus 로고    scopus 로고
    • The Oxford Visual Geometry Research Group
    • The Oxford Visual Geometry Research Group: www.robots.ox.ac.uk/~vgg/data/ oxbuildings/index.html.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.