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Volumn , Issue , 2010, Pages 506-511

Non-Negative Matrix Factorization with Constraints

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECOMPOSITION METHODS; MATRIX ALGEBRA; PATTERN RECOGNITION;

EID: 85062751034     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (22)

References (21)
  • 10
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    • Laplacian regularized D-optimal design for active learning and its application to image retrieval
    • He, X. 2010. Laplacian regularized D-optimal design for active learning and its application to image retrieval. IEEE Trans. on Image Processing 19(1):254-263.
    • (2010) IEEE Trans. on Image Processing , vol.19 , Issue.1 , pp. 254-263
    • He, X.1
  • 11
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • Hofmann, T. 2001. Unsupervised learning by probabilistic latent semantic analysis. Machine Learning 177-196.
    • (2001) Machine Learning , pp. 177-196
    • Hofmann, T.1
  • 12
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D. D., and Seung, H. S. 1999. Learning the parts of objects by non-negative matrix factorization. In Nature 401, 788-791.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D. D.1    Seung, H. S.2
  • 13
    • 84898964201 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • Lee, D. D., and Seung, H. S. 2001. Algorithms for non-negative matrix factorization. In NIPS 13.
    • (2001) NIPS , vol.13
    • Lee, D. D.1    Seung, H. S.2
  • 14
    • 49849097634 scopus 로고    scopus 로고
    • The relationships among various nonnegative matrix factorization methods for clustering
    • Li, T., and Ding, C. 2006. The relationships among various nonnegative matrix factorization methods for clustering. In Proc. 6th IEEE International Conference on Data Mining.
    • (2006) Proc. 6th IEEE International Conference on Data Mining
    • Li, T.1    Ding, C.2
  • 17
    • 0038363049 scopus 로고
    • North Holland, Budapest: Akadémiai Kiadó
    • Lovasz, L., and Plummer, M. 1986. Matching Theory. North Holland, Budapest: Akadémiai Kiadó.
    • (1986) Matching Theory
    • Lovasz, L.1    Plummer, M.2
  • 18
    • 1542286524 scopus 로고    scopus 로고
    • Locality pursuit embedding
    • Min, W.; Lu, K.; and He, X. 2004. Locality pursuit embedding. Pattern Recognition 37(4):781-788.
    • (2004) Pattern Recognition , vol.37 , Issue.4 , pp. 781-788
    • Min, W.1    Lu, K.2    He, X.3
  • 20


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.