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Volumn 2015-January, Issue , 2015, Pages 3890-3896

Semantic topic multimodal hashing for cross-media retrieval

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIGITAL STORAGE; HASH FUNCTIONS; SEMANTICS;

EID: 84949193939     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (221)

References (17)
  • 3
    • 84861170800 scopus 로고    scopus 로고
    • Probabilistic topic models
    • David M. Blei. Probabilistic topic models. Communications of the ACM, 55(4):77-84, 2012.
    • (2012) Communications of the ACM , vol.55 , Issue.4 , pp. 77-84
    • Blei, D.M.1
  • 10
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Daniel D. Lee and Sebastian H. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401(6755):788-791, 1999.
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.D.1    Seung, S.H.2
  • 11
    • 84880548516 scopus 로고    scopus 로고
    • Inter-media hashing for large-scale retrieval from heterogeneous data sources
    • Ahmedabad, India, December Computer Society of India
    • Jingkuan Song, Yang Yang, Yi Yang, Zi Huang, and Hengtao Shen. Inter-media hashing for large-scale retrieval from heterogeneous data sources. In Proceedings of the 19th International Conference on Management of Data, pages 785-796, Ahmedabad, India, December 2013. Computer Society of India.
    • (2013) Proceedings of the 19th International Conference on Management of Data , pp. 785-796
    • Song, J.1    Yang, Y.2    Yi, Y.3    Zi, H.4    Shen, H.5
  • 15
    • 80053437358 scopus 로고    scopus 로고
    • Godec: Randomized low-rank & sparse matrix decomposition in noisy case
    • Bellevue, Washington, USA, June ACM
    • Tianyi Zhou and Dacheng Tao. Godec: randomized low-rank & sparse matrix decomposition in noisy case. In Proceedings of the 28th International Conference on Machine Learning, pages 33-40, Bellevue, Washington, USA, June 2011. ACM.
    • (2011) Proceedings of the 28th International Conference on Machine Learning , pp. 33-40
    • Zhou, T.1    Tao, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.