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Volumn 19, Issue 7, 2007, Pages 1897-1918

Combining reconstruction and discrimination with class-specific sparse coding

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOLOGICAL MODEL; HUMAN; PATTERN RECOGNITION; PERCEPTIVE DISCRIMINATION; PHOTOSTIMULATION; PHYSIOLOGY;

EID: 34447275723     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2007.19.7.1897     Document Type: Article
Times cited : (13)

References (18)
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    • Bilinear sparse coding for invariant vision
    • Grimes, D. B., & Rao, R. P. N. (2005). Bilinear sparse coding for invariant vision. Neural Computation 17(1), 47-73.
    • (2005) Neural Computation , vol.17 , Issue.1 , pp. 47-73
    • Grimes, D.B.1    Rao, R.P.N.2
  • 5
    • 84900510076 scopus 로고    scopus 로고
    • Non-negative matrix factorization with sparseness constraints
    • Hoyer, P. (2004). Non-negative matrix factorization with sparseness constraints. Journal of Machine. Learning Research, 5, 1457-1469.
    • (2004) Journal of Machine. Learning Research , vol.5 , pp. 1457-1469
    • Hoyer, P.1
  • 7
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D. D., & Seung, H. S. (1999). Learning the parts of objects by non-negative matrix factorization. Nature, 401, 788-791.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 11
    • 59549087165 scopus 로고    scopus 로고
    • On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes
    • T. G. Dietterich, S. Becker, & Z. Ghahramani Eds, Cambridge, MA: MIT Press
    • Ng, A. Y., & Jordan, M. I. (2002). On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes. In T. G. Dietterich, S. Becker, & Z. Ghahramani (Eds.), Advances in neural information processing systems, 14. Cambridge, MA: MIT Press.
    • (2002) Advances in neural information processing systems , vol.14
    • Ng, A.Y.1    Jordan, M.I.2
  • 12
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen, B. A., & Field, D. J. (1996). Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381, 607-609.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 13
    • 21244483094 scopus 로고    scopus 로고
    • Classification with hybrid generative/discriminative models
    • S. Becker, S. Thrun, & K. Obermayer Eds, Cambridge, MA: MIT Press
    • Raina, R., Shen, Y., Ng, A. Y., & McCallum, A. (2003). Classification with hybrid generative/discriminative models. In S. Becker, S. Thrun, & K. Obermayer (Eds.), Advances in neural information processing systems, 15. Cambridge, MA: MIT Press.
    • (2003) Advances in neural information processing systems , vol.15
    • Raina, R.1    Shen, Y.2    Ng, A.Y.3    McCallum, A.4
  • 14
  • 16
    • 4344601990 scopus 로고    scopus 로고
    • Recognition invariance obtained by extended and invariant features
    • Ullman, S., & Bart, E. (2004). Recognition invariance obtained by extended and invariant features. Neural Networks, 17(1), 833-848.
    • (2004) Neural Networks , vol.17 , Issue.1 , pp. 833-848
    • Ullman, S.1    Bart, E.2
  • 18
    • 0038159929 scopus 로고    scopus 로고
    • Learning optimized features for hierarchical models of invariant object recognition
    • Wersing, H., & Körner, E. (2003). Learning optimized features for hierarchical models of invariant object recognition. Neural Computation, 15(7), 1559-1588.
    • (2003) Neural Computation , vol.15 , Issue.7 , pp. 1559-1588
    • Wersing, H.1    Körner, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.