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Volumn , Issue , 2014, Pages 307-316

Multi-modal mutual topic reinforce modeling for cross-media retrieval

Author keywords

Cross media retrieval; Multi modal analysis; Mutual topic; Topic reinforcement

Indexed keywords

BAYESIAN NETWORKS; REINFORCEMENT; SEMANTICS;

EID: 84913526094     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2647868.2654901     Document Type: Conference Paper
Times cited : (53)

References (31)
  • 9
    • 84932617705 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
    • L. Fei-Fei, R. Fergus, and P. Perona. Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories. In Computer Vision and Pattern Recognition Workshop, IEEE Conference on, pages 178-178, 2004.
    • (2004) Computer Vision and Pattern Recognition Workshop, IEEE Conference On , pp. 178-178
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 12
    • 0000107975 scopus 로고
    • Relations between two sets of variates
    • H. Hotelling. Relations between two sets of variates. Biometrika, 28(3/4):321-377, 1936.
    • (1936) Biometrika , vol.28 , Issue.3-4 , pp. 321-377
    • Hotelling, H.1
  • 25
    • 84877724347 scopus 로고    scopus 로고
    • Multimodal learning with deep boltzmann machines
    • N. Srivastava and R. Salakhutdinov. Multimodal learning with deep boltzmann machines. In NIPS, pages 2231-2239, 2012.
    • (2012) NIPS , pp. 2231-2239
    • Srivastava, N.1    Salakhutdinov, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.