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Volumn 8226 LNCS, Issue PART 1, 2013, Pages 466-473

Hierarchical representation using NMF

Author keywords

Deep learning; Hierarchical representation; Multi layer; NMF; Unsupervised feature learning

Indexed keywords

DEEP LEARNING; HIERARCHICAL FEATURES; HIERARCHICAL REPRESENTATION; INTUITIVE UNDERSTANDING; NMF; REPRESENTATION MODEL; STEP-BY-STEP APPROACH; UNSUPERVISED FEATURE LEARNING;

EID: 84893404088     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-42054-2_58     Document Type: Conference Paper
Times cited : (92)

References (11)
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    • Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
    • Hubel, D.H., Wiesel, T.N.: Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. The Journal of Physiology 160(1), 106 (1962)
    • (1962) The Journal of Physiology , vol.160 , Issue.1 , pp. 106
    • Hubel, D.H.1    Wiesel, T.N.2
  • 7
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D.D., Seung, H.S.: 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
  • 10
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    • Sparse and transformation-invariant hierarchical NMF
    • de Sá, J.M., Alexandre, L.A., Duch, W., Mandic, D.P. (eds.) ICANN 2007. Springer, Heidelberg
    • Rebhan, S., Eggert, J.P., Gross, H.-M., Körner, E.: Sparse and transformation-invariant hierarchical NMF. In: de Sá, J.M., Alexandre, L.A., Duch, W., Mandic, D.P. (eds.) ICANN 2007. LNCS, vol. 4668, pp. 894-903. Springer, Heidelberg (2007)
    • (2007) LNCS , vol.4668 , pp. 894-903
    • Rebhan, S.1    Eggert, J.P.2    Gross, H.-M.3    Körner, E.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.