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Volumn 2002-January, Issue , 2002, Pages 557-565

Non-negative sparse coding

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); FACTORIZATION;

EID: 84857841726     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2002.1030067     Document Type: Conference Paper
Times cited : (798)

References (11)
  • 2
    • 0000852458 scopus 로고    scopus 로고
    • Development of low entropy coding in a recurrent network
    • G. F. Harpur and R. W. Prager, "Development of low entropy coding in a recurrent network," Network: Computation in Neural Systems, vol. 7, pp. 277-284, 1996.
    • (1996) Network: Computation in Neural Systems , vol.7 , pp. 277-284
    • Harpur, G.F.1    Prager, R.W.2
  • 4
    • 0036284161 scopus 로고    scopus 로고
    • A multi-layer sparse coding network learns contour coding from natural images
    • P. O. Hoyer and A. Hyvärinen, "A multi-layer sparse coding network learns contour coding from natural images," Vision Research, vol. 42, no. 12, pp. 1593-1605, 2002.
    • (2002) Vision Research , vol.42 , Issue.12 , pp. 1593-1605
    • Hoyer, P.O.1    Hyvärinen, A.2
  • 6
    • 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, vol. 401, no. 6755, pp. 788-791, 1999.
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 7
    • 84898964201 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • (Proc. NIPS∗2000), MIT Press
    • D. D. Lee and H. S. Seung, "Algorithms for non-negative matrix factorization," in Advances in Neural Information Processing 13 (Proc. NIPS∗2000), MIT Press, 2001.
    • (2001) Advances in Neural Information Processing , vol.13
    • Lee, D.D.1    Seung, H.S.2
  • 8
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • B. A. Olshausen and D. J. Field, "Emergence of simple-cell receptive field properties by learning a sparse code for natural images," Nature, vol. 381, pp. 607-609, 1996.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 9
    • 0028561099 scopus 로고
    • Positive Matrix Factorization: A Non-negative Factor Model with Optimal Utilization of Error Estimates of Data Values
    • P. Paatero and U. Tapper, "Positive Matrix Factorization: A Non-negative Factor Model with Optimal Utilization of Error Estimates of Data Values," Environmetrics, vol. 5, pp. 111-126, 1994.
    • (1994) Environmetrics , vol.5 , pp. 111-126
    • Paatero, P.1    Tapper, U.2
  • 11
    • 84953776593 scopus 로고    scopus 로고
    • Conditions for non-negative independent component analysis
    • Submitted
    • M. Plumbley, "Conditions for non-negative independent component analysis," IEEE Signal Processing Letters, Submitted.
    • IEEE Signal Processing Letters
    • Plumbley, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.