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Volumn , Issue , 2005, Pages 546-551

Nonnegative matrix factorization for pattern recognition

Author keywords

Nonnegative matrix factorization; Pattern recognition

Indexed keywords

CLASSIFICATION ACCURACY; DIMENSIONALITY REDUCTION; FEATURE SCALING; MATRIX FACTORIZATIONS; NON-NEGATIVITY CONSTRAINTS; NONNEGATIVE MATRIX FACTORIZATION;

EID: 84855981825     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (16)
  • 1
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • D.D. Lee and H.S. 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, H.S.2
  • 2
    • 10044237573 scopus 로고    scopus 로고
    • Application of non-negative and local non-negative matrix factorization to facial expression recognition
    • Cambridge, UK
    • I. Buciu and I. Pitas. Application of non-negative and local non-negative matrix factorization to facial expression recognition. In Proc. 17th Int. Conf. on Pattern Recognition, Cambridge, UK, pages 288-291, 2004.
    • (2004) Proc. 17th Int. Conf. on Pattern Recognition , pp. 288-291
    • Buciu, I.1    Pitas, I.2
  • 6
    • 0037410684 scopus 로고    scopus 로고
    • Evaluation of distance metrics for recognition based on non-negative matrix factorization
    • D. Guillamet and J. Vitriá. Evaluation of distance metrics for recognition based on non-negative matrix factorization. Pattern Recognition Letters, 24(9- 10):1599-1605, 2003.
    • (2003) Pattern Recognition Letters , vol.24 , Issue.9-10 , pp. 1599-1605
    • Guillamet, D.1    Vitriá, J.2
  • 7
    • 0041339710 scopus 로고    scopus 로고
    • Introducing a weighted non-negative matrix factorization for image classification
    • D. Guillamet, J. Vitriá, and B. Schiele. Introducing a weighted non-negative matrix factorization for image classification. Pattern Recognition Letters, 24(14):2447-2454, 2003.
    • (2003) Pattern Recognition Letters , vol.24 , Issue.14 , pp. 2447-2454
    • Guillamet, D.1    Vitriá, J.2    Schiele, B.3
  • 8
    • 11144327494 scopus 로고    scopus 로고
    • Fisher nonnegative matrix factorization for learning local features
    • Jeju Island, Korea
    • Y. Wang, Y. Jia, C. Hu, and M. Turk. Fisher nonnegative matrix factorization for learning local features. In Proc. 6th Asian Conf. on Computer Vision, Jeju Island, Korea, 2004.
    • (2004) Proc. 6th Asian Conf. on Computer Vision
    • Wang, Y.1    Jia, Y.2    Hu, C.3    Turk, M.4
  • 10
    • 0035014847 scopus 로고    scopus 로고
    • Multi-class protein fold recognition using support vector machines and neural networks
    • C.H.Q. Ding and I. Dubchak. Multi-class protein fold recognition using support vector machines and neural networks. Bioinformatics, 17(4):349-358, 2001.
    • (2001) Bioinformatics , vol.17 , Issue.4 , pp. 349-358
    • Ding, C.H.Q.1    Dubchak, I.2
  • 11
    • 84898980366 scopus 로고    scopus 로고
    • K-local hyperplane and convex distance nearest neighbor algorithms
    • T.G. Dietterich, S. Becker, and Z. Ghahramani, editors, MIT Press, Cambridge, MA
    • P. Vincent and Y. Bengio. K-local hyperplane and convex distance nearest neighbor algorithms. In T.G. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Information Processing Systems 14, pages 985-992. MIT Press, Cambridge, MA, 2002.
    • (2002) Advances in Neural Information Processing Systems , vol.14 , pp. 985-992
    • Vincent, P.1    Bengio, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.